{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Parsing San Jose PD's firearm search reports\n",
    "\n",
    "This example uses `pdfplumber`'s visual debugging and text-extraction features to parse a fixed-width table embedded in a PDF. Thanks to [Ron Campbell](https://twitter.com/campbellronaldw) for the sample PDF."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:57.742886Z",
     "iopub.status.busy": "2022-05-31T19:47:57.742465Z",
     "iopub.status.idle": "2022-05-31T19:47:57.822335Z",
     "shell.execute_reply": "2022-05-31T19:47:57.821554Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7.1\n"
     ]
    }
   ],
   "source": [
    "import pdfplumber\n",
    "import re\n",
    "print(pdfplumber.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the PDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:57.826756Z",
     "iopub.status.busy": "2022-05-31T19:47:57.826131Z",
     "iopub.status.idle": "2022-05-31T19:47:57.834627Z",
     "shell.execute_reply": "2022-05-31T19:47:57.833445Z"
    }
   },
   "outputs": [],
   "source": [
    "pdf = pdfplumber.open(\"../pdfs/san-jose-pd-firearm-sample.pdf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Examine the first page"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:57.839241Z",
     "iopub.status.busy": "2022-05-31T19:47:57.838841Z",
     "iopub.status.idle": "2022-05-31T19:47:57.849315Z",
     "shell.execute_reply": "2022-05-31T19:47:57.847895Z"
    }
   },
   "outputs": [],
   "source": [
    "p0 = pdf.pages[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:57.855047Z",
     "iopub.status.busy": "2022-05-31T19:47:57.854737Z",
     "iopub.status.idle": "2022-05-31T19:47:58.269495Z",
     "shell.execute_reply": "2022-05-31T19:47:58.268670Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x112721be0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im = p0.to_image()\n",
    "im"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## See where the characters are on the page\n",
    "\n",
    "Below, we draw rectangles around each of the `char` objects that `pdfplumber` detected. By doing so, we can see that every line of the main part of the report is the same width, and that there are space (`\" \"`) characters padding out each field. That means we can parse those lines a lot like we'd parse a standard fixed-width data file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:58.273691Z",
     "iopub.status.busy": "2022-05-31T19:47:58.273032Z",
     "iopub.status.idle": "2022-05-31T19:47:58.638330Z",
     "shell.execute_reply": "2022-05-31T19:47:58.637596Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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4E5mrlmVhiYIDQvLn9seu615ceT2XU/959me2bddqtb2c2DHZw4n/+fUf44tj92KHd6/jiT34k2EnjuN/7rVeP7c/vnr16vT09GNfMaIoem1islQqff3Gn/OHeouz67qXP3yjW1NqmvbCB1ew4+3amj03dEc7e2mRA7DTLT57NPvYV4zBQflX3ePTg3v31WEwefnscwBQLBb/09+8sL4efXThe57nXYMZdiKrJsv5jZsvY7JYLJbLZb4UzNxqLb06MWkYBsuZceLls8+1222WuWOn3XsEOjZKkiRfPfU/pKuMJeJUqWkaTo8dK8K8fff8lSAI+CL4+PAV4UtptZZ+dP4KvuYI/Xn57HMAgHE+UuM0BwSxL/T5p70gCNiLwzRtGABqtVqpVAIAWZYNw/B9P0kSdqherwNAGIa6ruNr5JMkURQFADRNK5VKsiwLRbDMg4OyonyWt8OKwzeCbWzEmLQsiy8U/WHJIFgVTmSu4kvvkUaj0a3WrusCwOCgLMtyo9HA15yliaLI8zzbtvEltUmSNBqNIAhc102SBADwaBzHQk4s3bZt3/fTJ0ZRdOvWrUajgUfjOMazwjCM41jwgXdPOFEoJQxDx3E8z2u1ltJ1wZxYUNpOvV5HO1EUBcEqOxRFEUaVBZO3k0bTNHyxLmusZrMpHOoIc4AFRKiXpmkdT8Sm1HUdO1631oyiCF/9m92UrNbdWjNJkjAMd23KRqORbkreDvYZvkTejuBetlkhPnwkszsMz8CAtL4edevAgh3sFRg09Efoh92aMo3QKzRNq1arCwsLiqKMjIyapilEj/2H5cRktVrN5/PpzHEca9pwrVZjM0PGiXEcnzt3TsjcrdNm9FgsvVunlSSpY5Uxic4YhrFrRaIowq+y6fh0rAgrpVAY42O1srJcrVZxIs2uMl9roQPD/oxTgtgn+r+QchyHTU84d/PJSqWCCxecKfBb6dpaiEPdNE1cReG1tuN0yTKrqqooCm9HYGRkFD/ous7M8v7guem1GnOVrc9838eh2xHDMAzDUFUVq8BmMYEkSer1eq1W8zwviiJJkgDAdd1yuYwXVN/3cWG3sbHB5wyCVU3TarUaXgiFExVFMQwDl6EAIEkSxm1jI05XjXdPOFEoZW0ttCzLdd2RkdEwDAU76B5OrIIdDAjaURRlaEhhhxRFwe+RbD3E28FLJhJFEWZg82OSJK7r8rHttmDlHQAAWZYdx8FkEKxKklStVrsti7EpWQ/p1ppJkgTB6q5NeevWrSRJhHbn44zWdm1K3/fTTcnbkSSp1VpiNtN2+FIyzKbjw0cyu8MI7sVxXKvVcK0m5BTsbGzE+XzedV3sBnzm3/52BV/kjCfyTdmt6VmvwG9cAMAu5L7vF4tFlrPZbGKGdM40mFmW735Z6lYEjyzLuq4LPa1bp+3WY1lAMjptRpXxg23b2RUBgLW1UFhosvgIFcmudRRFjuPwDbSXcSrLMt+B92mcdnODIB6Qfi6kkiTB7yKs92uaZpomfuFIksTzvNnZWezQhmFYloVTJ070PHhix+WRkJm3syu8P+zc9DWAucq+x+i6Pj09vZcissElIF7P8D/ValXTNFmW19cjvJk3NKTEccznjKIIv7qhb8KJQhGSJAVBEARBOqrZpEvRNE3TtI52cI3F1kM8YRji/Ya9FJphB2E3OCVJsiyrWq2yVR07tKsD7PIZRREuqTt2rfsC7WQ3pWEYrLdD99bctSk7fi8X7HT8PsDDSskwK8Qnuyk7dktGLqcCgGVZ6+vRrjlxrOHCjs/8ySdREKzyJ/IroY6wXqEoCl7p2f2SRqPBjjYaDbwz3TGnAJ95ZWXZ931cHOx6ouu6LLPgHk9GjwWAKIqw/3TrtBlVLpfLpmnyEehYkSiKkiSxbZtNpHxOoSLZtZZlGXsaa+g9jlO+A+/rOCWIvtPXZ6SiyLbtUqmEwywIVj3Pwy+apTgOglXDMizLgv/pjYWFBS/n5fN5wzBaHyyNjIy+6TiGYTSbzbfiGO9sB0FQr9f/eHtEMVjmzy3eGRwc9LwddnAu8DzvGgAAuK7reV673X4y5c/6eoTnDg0pv/nNb/gTFxfvoKtXr15ttZYKhTHP8y5cuDA/P5+uNd5vAIB/t7Kcy6lop9lsfr9TiBqNBn5zuqaqcRzX6/Vms2kYxpMAIyOjr9p2qVT6o7Uwl1P5nDjFlEqlZrMpSZJwIgDggo8VWi6Xbdv+oTaMh5jncRwL7vEn4g08vhRsBQBYW9txRyoMw3q9XiqV2C1D3s7mZlIsFtvtNv5Ss74eNRoNViLeFFxYWIjjGCvC7KiqWqvV0KBye44vMQhWo2gdL6hf3m3FIDgQxzFG0vM8Vc23Wkv1er3dbgfBKv5imG5K3/cvdwqXEATHcbKbstlsfl1VwzDs1pqbm5u4UMhuyqmpKbj5stCafHutr6/jdwOssizLvJ10hxHMMkZGRvn4AAAfScGs0GF4O2trIf6e2Gw2v5dTh4YUISdvR5Ikz/OuX79+9epVoV6jo6Orq79lJ4ZhyJoS/cnoBmi229Fms8k6m5CTLSnYNMIyR1GEtxsvXbr0k91OjKKo0WgUi0XMnEFGj43jeGRk9G3HwQzpTptR5TiO8QZwutZ8RaanpxVFURRF13W2kOLjI1SELyVJEuwwnufhz3mKovw/63XP83b9IsfX+re//S3rwL7v/97OftivcZrtD0H0zCNbW1v9srX2b87s08PUx9TO4uKd1/7tC5h89f/19tCQ4l78H/F2dLadMAz3krNb8j+//uNGo9HxIc3e6iVUpFAYO1JxPhg7fBAuf/jG8PCw/+P/ZS8n7rE1M5pyj5se7mtzADPbrXGPe3tl2/nJi+/hbZ69nNgx89GsVw8VefD4HHq9WPJz/6f/DgCwP+fz+amPvgsAbJzm/svdbATRX/q5kCL5g+ycv0t+tzA8PjIyKstytp095uyYTDaTX2ufl2X58eX/drzic4zsDP7j/7y1tfXJ7/33e2mgvbc7dGnKkZHRPtZrj2aPQpzJDtnp4zgl+QNin+jnT3tENo9Kj46Pn+pvzjTSgHT33OX/1psFYlcelR6FnU91ZGfurTXvNWVf2SezBHHUuK9xShA902cdqSN7y/dY2EFxnT2eiA9poqhStj+7KqzwYi3pzLxv92W2oz+CrgwvPIZHZ2dnAeD14IamDT+g7s5xaXeyQ3bIzgHYyQFB7Av0ipgHhYn0rKws43a/vQgIQXc5qHj7cXvoLiCER/ExUkGcSfBHUFgRdJsEfRohs+/7tm2HYbi2tpYWEOJz8rXOFvsRdGV44TE8io+44uOl2SI0BEEQBHHo0ELqQWEiPZo23G639ygglCEHhRvUMwSEAABz4tYVQZyJ9ydJEkFhhddtSuvT8JnjOL5161atVtvYiAcGBgSlKD6nIJvEq+CEYbi4eKebNBSkhMfSZIjQEARBEMShQwup/lCtViVJ+t3vNu5LQAi6aAhlCwjt3Z/0IozXbcrWp4njGBcxIyOjggKFQFo2KVvsh92CEoTH0rKf0F2EhiAIgiCOAvSw+YPCRHpeD1b3LiCUIQf1ucU74+OnMgSE0vDiTADA/BkaUniFFUH/SdCnETIrijI7O1sqlf5Va0nThgVdIj5nutZMBUeWZVU9hb/WCdJQkBIew1tZxWLRMAy4vS+NRRAEQRD9hRZSD4osy1NTUwCg3Z4DAFw0mKYJlTnYVhYGAJifkWWZHZVuz0mShCcCAK6WUNEOd1ThK0JZKYZhdFtFAQDasSxLrvyUJXl/AAAqc0zxEt1DDWJ0Mp0ZX80BAIXCGPONndgxJx5VVRVV4G/cuCFXzmSErps/LCAEQRAEccQhHal9tNObHNRelH7+19HH4jguFMbU//r/Pb7xITtkh+yQnQOzQzpSxD5Bd6T2kf0TEGLvY+4jA5+0he3BuS6fHyRJdsgO2SE7h2WHIPaDfi6k/tfRx3764nu6rs/Ozl4Pf7C5mbw0MVmpVDC5sRH/4vUf67quf/UPwjC8MjEJAKVS6es3/jwIVl+amEQj34c5liyXy89cfxZSuiAoPvSf/uaFjY2YnfhW/J4sy3xOwY5QCtrJ5/P/7ur5XE792/NXAEDXdT6ncKJlWU+99FVIqR8xnZLsEsMwfJHzdn094uOD4QKAv4r+bn09SkcyHR/mT4b+yrvnr+BD69+4+TIAXHv6YhAExWIRk89PTObzeUzSdEMQBEEQ90s/d+0NDsooSlQqlVRVHRiQSqUSS8ZxjJuz1tZCVVUBoFar4fYxFA2q1Wr4vnGWxO39AmEY6rpeLpfX1yN8GWqtVuv4cm/BjlAK2jFNc3BQZjbxLaHCiVgR3M+PlgX1oz2WuLER42fLspIkEeLDMgfBqhBJwU7aHwDgXx3Ps7CwYFkWexdpEAT3nkMCqNVqfJIgCIIgiPuiz/IH586dw1dtd8N1XfxZim00w/9jkukJoaJjx235m5sJPoU9MjIaBKt4omEYHbfoC3b4UtbWQrSjquqjj0r42bIsfOl9RwdKpRJu0c9QP8ookf0ep+t6hre4uU+IpBAfwR/f9/lFFY+mafhudlxotttt3HDHMvCtQBAEQRDEfdHnhVQ+n9c0TZC0ZknLspjCpKZplmVVq1VcCmiaZpqm7/u4gd8wDP4+Cg+78xTHsSzLeGI3fwQ7fCkoXCnYZO51dKDdbsuyLKgf7b3Ebk6y+OC56IwQyY520B8A0HUdN8qlsSyrXC7ruo6CC4Zh1Go1voEsyyL1cIIgCILojX4+I7W+HtXr9ampqUuXLgGAqqr4yx2uKuI4dl23Vqu1/u3bn3xy990pAPBlWQ6CVc/zXNcNgqAUx+vrked5+XzeMIzWB0u4/Z6hacOv2LZhGP9hZVlRFM/zPM/reO8KzTI7sizzpYyMjL7pOIZhfG7xzvDw52zbNgzD87yntGHhRNhWZgIAWZbDMOTVj/ZeoizLrut6ntdut59MxYedOzSk/Mu//AsfyXR8eH8gU2Wq0Wh4nofCnugPoALnbYjjGHWb8vn8g7U8QRAEQTyk9FP+YO3fnDmmL7MkO09WzuT+y93PBEEQBEHsEdKRIjt3kySyQhAEQRD3Sz8XUgRBEARBEA8V9NJigiAIgiCIHqGFFEEQBEEQRI/QQoogCIIgCKJHaCFFEARBEATRI7SQIgiCIAiC6BFaSBEEQRAEQfQILaQIgiAIgiB6pJ+viCFBTrJDdsgO2SE7ZOfB7ZBC8jGinwuppfEvvDgxiZ/fit+L49h++qJlWY7jfDv6642N+KWJSQD4q+jv2GcA+D7MwbF6lUof7Tw/MQkA+Xz+GsyEYYjRe2XxzcHBwW9z8VlZWf7F6z/Wdb3RaDxzvappw0e8XgdsR4jP0JDyzYlJXdcty3qyciYIVl+amKxUKrOzs6+23k6S5LWJSXiAjnfs4kN2DsVOeti+e/4KAOi6/tRLVhRFr01MWpb11EtfxS6KJ34f5nAqYB34qNVLSAbB6k8ufM/3fdM0//f/93+3srL8909fRM/TFeFnPFbrUqn0zPUqBqRcLhuG8dhXDEzC3sYpBnZhYWEq/O7aWognWpbV0R888a34vfX1iM0M18MfqKrK7FyDmZ7jw7fmld++++mn6+gAAPze//l/x/uDnufzec/z/jJ+R5Zl3oEcEMeGfv60t7ER12q1UqlkWVaSJKqq+r4PAJqmKYqiacMAUKvV1tZC9rlUKvXRgWMHRqBarQIXvZGRUUX5LHDxieO40WgAQLPZHBiQDtXlo4gQH1mWDcPwfR/fBo2dzfM8wzDwBdjU8YgDQOiWYRjqul4ulz3P29zcyuXUWq3mui5sd1HWLVVVxVn0cP3fC2EYDg7Kpmnquh4EgSzLiqKwoZeuCD/jsVo3m032uV6vQyoguxIEQblcBoCNjXh8/BQWmvZHuEINDEilUknTtFKppKoqb+dBYM6Xy+XPfOYzuZzKIiD4E4ZhPp83TdMwjCRJ+uUAcfD0cyE1MjKKH3RdVxQFAMrlsm3brGcEQdBoNFiPcV3XNM0+OnCsYdHDwZaOj+u6x2JuPSz4+ARBUKlUcFIGAM/z6vU69sMkSajjEQcG65abm4lhGABgWdba2hoeLZVKYRjCsZ0P19ZCnOpxNQAASZLwQy8brPXCwgIARNG6bdu6ruOh+xqnQRA4jmOaJn8NSvuTvkJ1s7OXQnetl2EY6VJ4f9bWQizLNE3M2S8HiANmfx82x66saRr/z/HxU/hP0zR934/jeF99OKYI8bEsy/d9NssQAnx8kiTxPG92dtbzPDxqGEatVnMcBwAkSaKORxwMQrfEf/q+Pzh495mKdrstyzJ0nw9XVpYP1uX7Q5J23CBPkiSKIn7oMTpWRNM0y7Kq1WoYhooyhLeRmOU9jtMkSarVarVaxft/e/SHB385ybBzv2BrCv90XbejP77vO44TBKt9dIA4YPr5jBQAuK7reV673X6SS9br9ScBgmDV9/12uw0AQbDqeZ7rukEQlOIYp5KHjSRJbNsOgsDzvGsAsB2uZ4JVAODjE8ex67q4FPiLtRDvQhMMIT5BsGpYhmVZV69ebbWWZFlm09ZvfrMYResPeccjDgahWxYKY6/YtmEYnuf94cBAEKzatg0AsiwL82Ecx/V6vdlsAsArR3u5PzIy2motNRqNZrNpWVZ+8Y6iKLVaDYfe0JDCV0SY8bDWGIT/Q/xpFK3n83nDMBzHuRys7n2cRlFk23apVMKLy8rKcr1eb7fb5XJ5cac/hcIYf4VSVRV9w9WbYKdnsF6e5+m6HoYha2gASPvzmm3jz5eDg3K/HCAOnj4vpO799nTzZUze/c/NlzVt+MaNG+JnALXyUX99OC5IklSr1e4m5mdgO3pa5SMA4OOjqnd/Za9Wq+PzM4fi7VHm9OknhPhgcmpqqsAFs1qtfn5+BgAw7A9txyMOhnS3xI5XLpcLt+dYEipz6flwamoKk+O35w7B9T0jSVKhMGaaJt6AefxxHQB+ww09oSL8jMfXevT23Ojov/pU09CUNj+jacN7HKeqqmJO0zShMjcyMsoKTfsjXKHunTg/I9jpOSY7WlNVmVkAePz2nOAPK1HhesgDOkAcPI9sbW31yxbJH5AdskN2yA7ZITsPbofkD44RJMhJEARBEATRI/38aS/64peOst4J2SE7ZIfskB2ycyzs5IA4NtAdKYIgCIIgiB7p5x2pMAzZ9oS34jiO447JVxbvfOYzQ3vJecLsCHtPuoXr2NUrI3nlt7/99NN1TN6vA3vfUrfHjveA/pAdspNtZ48D/CjUiz/Rsiw9DNfWwj3a4asZcifer529+5M9FfBxfpB6HTV/6I7UMaKfD5uv/ZszR+rWKNkhO2SH7JAdsnMc7eT+y93PxNGHftojCIIgCILoEVpIEQRBEARB9AjpSJEdskN2yA7ZITtHyw7pSB0j+qxsThwdNre2Bh555LC9OB7EcdzhFabEw8HAJ+3czv/sPdnziWSH7Oyakzgu9FlH6t3zVwBgYWHhGswEwepLE5N46Pswx5J/Ff2doijPT0wCQD6fvwYzcRx/c2JS13XLsp6snAnD8EUuCTsfwVtZWf7pi+/puv7En/zhI4888p2JyUqlMjs7ez38wcZG/IvXf6zreqPReOZ6FQCwxFKp9PUbf57tz8E/hMgcKJfLz1x/liVfWXxTURT+EABgYHVd53PiUQwXmn0rfk+WZSzl8//+Xw8OyvwhAPjmzsC+e/5KPp/3PO8v43fYiX2M8+vBjSiKXpuYZBXZpzhjRXzff+GDKx2rid3ycjCN/mAfYHZc17384Ru85xhJvpfy3fKxrxgd7Qihw3BtbiYvdYne//HbX3vkEXhtYjK7i95X9Pr7MCw/otM9rVu3/PJ3JldWlv/+6Ysde9r6esRXU3BAGP5BsHrz/BUsIruh0+7xzcfbERpoHAiCIHqnz89IBUFQLpfxs6YNA0CtVsOXMrJkEKyy/1erVQCQZdkwDN/38eWRqqqWSqV7L0XayeCg7DiOpmm5nPrZz+ZKpZKmaaVSSVXVOI7xvdnNZnNgQGIl4psps/05eJgD9XqdT+ZyKvuM1QnDUNf1crnseV4cx8KJGxsxVsqyLPaG+UajkcupwiEhzmEY5vN50zQNw2AnMvoSZ8HVfQLjY5qmruvpagLXLYU+wGKFbwpjR8vlMgaE76V8t+xoh8FCh+EaGJC6RQ/fP71rF93X6GXDj2ihO2V0S1mWFUXp1tOyo8fHOQzDwUGZFZHd0OmBwJpPsCM00EHFkiCIk0n/F1KO4+BlCZOu67Ikvuu7owhHEASVSmWPF4xz5845jtPtqOu6bBGGDiwsLNyvPwcDOqDrOu8ezuxBEDQaDXwN+OZmYhgGAFiWhcs+/sSRkVE8Xdd1Rbn7C1Wz2ZRlOX2Ij/PaWoihME2TncjTlzhH0Tpfx/1gbS3E+LCKCN2J75ZJkvB9AACazabQBIZhdAwIT9oOT3bogIse2snuovsavWz40AndKbtbJkmS0dOEanZjczPB/FhEdkN3HAgd7cAeGoggCGKP9HMhlSRJtVqtVqv4hRsANE0zTdP3/TiOAcAwDP6uCX+i53mzs7Oe5wmHVlaW0wXl83lN0zY2YvYf3/fxg2VZvu+zC4+maZZl4VfSvftzYKAD7MYJuhfHMboH2y8DZx76vo/LPuFEgUaj0fG7fsc4+77vOE7H23J9ibOiDGW42hckSeKTQjWFbilJEt8HhFih57uWuLKyLNgRwNCxcCEdoydJ0q5ddF+jl0F6RAtH8UO6WyZJEkVRRk8TqtmNIGjzRWQ3dHZFBFc7NhBBEEQP9PUZqSiybbtUKuF9lCBY9TzPdd0gCEpxvL4eeZ6Xz+eHhpTf/OY3tm0HQeB53jWAxcU7hmVYlnX16tVWa2loSKnX6/hjxyupeXZ9ParX61NTU+H3nz99+gnMhleaOI5d163Vao7j/MVauLmZ4FdkAPiyLGf402ot9TEOewT9yefzhmG0PliSZRnd+/3W0qOPPur7PoYRADRt+BXbNgzD87yntGHhxEJhzHVdz/Pa7faTAADQbDZrtRrcAADgDwlxLhTGXrNtXEYMDoq35foS5z/47UoUrfOu7kckR0ZG33QcwzCazeZbcdxqLQndiXXLIFiNonXWB2RZvhsrrkU8z2P3VPheGoYh65YX2+Hm5iZvp2PoLl26BACqqnaL3v9teXlzc3PXLrqv0ctAGNGwsztldMv/+nf/dXR0pFardexpQjXTguAszlOStLh4p16vYxFJkmQ0tDAQ+Oa7og3zdlqtJb6BCIIgHgRSNj+Bdn7y4nuGYRwdf46yHYzV0fGH7By8HZKQJgjiQSAdKbJDdsjOQ22HBHsIgngQSEeKIIiHmj1+A4S+Luxo9UYQJ4Y+60idjFv9ZIfskB2ys692ckAQxAmB3rVHEARBEATRI/28IxWGIe4/AoC34jiO447JVxbvfOYzQ3vJeWB2mALNQdItXEcwPj3bufLb33766Tomdz2xZ0GvPXa8+/XnxNg5gMAe6/gcjJ1D1KsjCGJfoV17ZIfskB2yc9B2aKsgQZwY6Kc9giAIgiCIHqGFFEEQBEEQRI+QjhTZITtkh+yQ/AFBED3Sz4UUQRAEQRDEQwX9tEcQBEEQBNEjtJAiCIIgCILoEVpIEQRBEARB9AgtpAiCIAiCIHqEFlIEQRAEQRA9QgspgiAIgiCIHqGFFEEQBEEQRI/086XFJMhJdk6GnTiOh3/9T0fHH7JDdsjOibdDGq3Hl34upBbHii9NTAJAuVx+5vqzAPD8xCQA5PP5azADAO+evwIAX/vrPxsaUl6cmMSz3orfk2UZD+m6/sz1Z8MwfHFiUtd1y7KO/stHe7YTBKt8uFjylcU3JUn626cvWpblOM7FlddHRkYz4tNqLfGZJUlidhRFEVrkGMVn73YwdJVKZXZ29nr4g42N+KcvvqfrOiY3NxN29JXFt2R58DezP7Nt+/XgRpIkfE5VVdGs67qXP3wjw+y3f/PW1tbWaxOTfNuxnFgiAJRKpa/f+PN0f8bWXFhY+Hb010Gw+iv749nZ2bfi99bXIzzRsqynXvqqUM2VleVfvP5jXdcbjcYz16tDQ8o3t80+9hUjiiK081fR321sxC9tj6/vw9xRa6+HxM6u/Ye11/p6JPRDfryvrCzPPH3RsqzsTntY8VlcvPP22eeKxWK5XMZe+sbZ54rF4jduvnyQccYkDqKb56/oum4YBj8uus0M0GW49bf/uK4rXM46vMcaiONKP3/a07RhAKjVao1GA/9Tq9VKpVK1WsVkEATlchkANjZiPGRZVpIkYRjqul4ulz3Pi+NYVVU81EffjiAsXPV6nU/mcurQkGIYBgBomqZpw9nxETLzdoQiTioDA1KpVNI0rVQqqao6OCg7jsOSGATP8wzDANgaGRnFSW1gQBJyorVGo2GaZrbZz39+HLiuLuRkYW82mwCQ7s9sICiKAgB4oizLaKdWq7mum65mHMdYXLPZHBiQZFk2DMP3/SAI+DoqisIcKJVK+xl4Iotd+w9rL6EfCuM9jmPLsrI77SEyPn6KzfAAkCQJnzwAWG8vl8thGA4Oyhg63/cHBqRcTu02M2QPt34RhiEWun9FEIdOn5+RCoKg0Wi0251vUQZB4DhOLqeOjIzif3RdVxRlczPBpYBlWUGw2l+XjjKe59m2res6JoMgcF1XVVVVVdnSR5Kk7PgImXk76SIeEs6dO+c4Dkt6nlev18vlsqIocRx7nrewsICxEnICQLPZ7BYuPnOSJNld3XXdhYWFbkcdx8HlGtrxfZ/PUCqVwjDseC5eUJmdSqWCrR9F61hH3gEsgjgi8P1HaC/+kDDeFUXxfT+70x4ufFdPksS27SAIDtIB7O2GYTz6qIRfTizLunXrVjpnx9BlDLcHdmxVkqRqtcpuLhAnkn152LxWq6X/id9UqtXq2prYZZMkwQ++78uyzB9aWVneDw+PCIZhWJbFJh1N00zTxO+g+AsOXtF3jQ+fWbAjFHGyYcuRfD6vaRpLGoZRq9UcxxkYkFqtJcuy6vU6TrhCzkajkb6L080spLo6O6RpmmVZ1WpVmKBXVpbZQMC5VZIk0zSFpVu73RYaGrEsy/d91is8z5udnfU8DwAUZQjryBwwTdP3/TiO9xA5Yh/p2H+E9uIPCeN9YEByHCej0x46lmXhN4o4jhVFqdVqB+wb9nbYGbpiscgyZAxh6D7cHpwoirDJHravsg8b/VxIBcGq7/vsOzp+NanX6zhZRFFk23aj0cC+7rpuvV5nv2phTtd18Zeser1u27Zt2yf4MhAEq57n5fN5wzBarSVMuq7bai3FcWyaJrujsGt8+My8nd/+doUv4pArvG+oqtpsNhuNBq4X19ejer1uWRauVDAgmPN3v/tdkiSGYeB/hJwA0Gw22V2cDLNBsBrHG6yrCzmxRGwyWZaF9mIDod1uh2EYRetBENTr9SiKsAjbtj3PS8/scRy7rotX37W1cHHxDi4QAWBhYSGK1jFbGIasDziOc4JH0BEnu//w7SX0Q2G8y7IcBEFGpz1E4jhutZbq9Xo+nwcAWZajKKrX6we5bsDejsHRtOHFxTsYunK5rKrq2lrYbWbIHm59YWRkFOPTbrdP9vMVDzn9fNhc04Zv3LjBkpIk3fu+Pj+jqiomx8dPAcC9R0ZuvsxylstlqMypqjo1NYUHx2/P9dHDIwULl2mahcIYAGDy8dtzAKDr+vT0NObcNT58ZmYW7QhFnFQwPqZpwvxMoTCG8ZmenobKGRaQarX6ufmZz33uc78EeP/996FyRsgJGOE9mNUqP9W0YT4zn5MfCPLtOVmWhfZimdXbc6qqfqppU1NTSuUjRVFYTqiIPf/06Sdw1FSr1fH5GdgeRFNTU8V//AgAPtW0arWqzs/AdrsDgFr5qB8BJnohu/+w9mIjGvuhMN5lWcbR3a3THiKyLBcKY/xAGB8/dTf54RsH4wM/3CRJQgeYS+Pjp0zT7DgzsCRAh+HWM4uLd2zbxs+vBqsYH/Rn8bt/CgB49NXWEt5ruJuztUQPmx9fHtna2uqXLZI/IDtkh+yQHbJDdnqwQ/IHx5d+3pEijg5JkmzB1iPwyGE7QhD3iONYOWwfDouBT9q5nf/Jdfn8IEmyc6ztEMeUfi6koi9+6TInKBJF0dtPX9R13fM81JG6fPa5drv9enBD04b5nHC09WAO3Q4KEWESZbey7fzwwvd836/NfZtpzLBDTMEIW+Tn9sezs7MAgI3y/MRkPp9nGjCXzz4HAJeDaU0bfvf8lSAINE3DQ++ev4KPbXaUp+rYuIcYZ/TW87y/jN9hMjMdPc+OD5+51Vp6dWLSMAw+Vnzo+Ahgz2eZBTs/On+lW04hKYSdb5RWa+lNTr9HyCn4c+3pi0EQZIv9oCYQr2DEK1dlx/lby1c3NjaYzhbLiQJd6RbJkAHjdZKYYhAK//ACQiiXxTcfP2q+s/wO74+g8IS6Tfl83vf9Fz64EsexMNx4PbwgWGX9Z2VluaOrHfshXTIJ4qTS51171WoVnzoEAEVRLMtij+7GcXzu3LlarYYPm/M5iWwE2S0AwGck+b1mjuOg6gwA4KOX6+sRO8pMMQUjRNM0fBqDabHwGjCaplWrVbS5sLDA7/7DtsNN2mmOVOOGYZjP503TNAyDl5np+BR2dnwYcRxr2nCtVuN3XFarVbYJnI8A6/kd904WCmPdcqZPFMLONwrusmYOCDmFFgmCYC9iP4KCEa9clc7Mx1lRPgspATMm0MXnTJIkWwaML0IQ/knLZfHNx48awR+hRNRtwr2TSZKkhxvTwxP6z1GTdCII4lDY93ftsW2osizjLv39LvHkIchuwfZ+frycBMEqbra3bZvtPdF1HSVnfN/n5eZ4BaOOMEkYvLrA9o5iTdPq9brneZjEDWv4pGQYhvY2R3CP2NpaiPU1TZOXmemoWLZrfBBZlmVZZp2ZxaqjrJTQ8zPCJeRMDxk+7MA1ShAEg4My74CQU6Ddbu9F7CetYMQrVwkV4eOsKEoUrQsCZkygS8iZLndXnSQm/CPIZfHNJ4yatD+MtbUQV5zoT3q4MTY3E6H/HDVJJ4IgDp59f0aq0WhYlgU3XwYAvKKzeYrojTAMb926xW42RFGEnw3DgNv/EMcxXrFwxcNv6GOiw47jPAPQUYMOF2QAoCgKXozxCoobxBYWFqR/lGB7dxtuOWb7MQFAPqq7LH3fv3XrVi0M8TaG7/uPpTY87yU+jJWVZd/3LcuCD99gsep2Hw57PmbODhefM53kww5co+S8HMqzMQeEnDyoLlYul7stsxhMwch13a8rCipXsTtSHSuCcb4crCrKEC+KmBboYjkHBiT2H/ywq04SE/5hclm/F8d4Tw62m09A8IcvEXv4XuBlirD/HDVJJ4IgDp5+LqSYpq3neddSR6MoajQaxWLx17/+1eOP6xk5iTSu63qe1263nwTY3EyKxWK73cbfFwqFsbcdB7avmvj7CwCg3oHneRcuXJifnwe4K+VVKpXwqi/LsuM4xWLRMAy4DXEcYxIvxpIkocGvAQBAo9HwPA9fdICCRt1eepDdDQ6eQmHsNdvGq/jw8OdQZsbzvKd2/loHu8VHyBmGoe/7ly5d+gkXK0SIAOv5mJknSRKUmemYU0imw84aRZIk1O/B/ws5BX9kWUZvdV0X6iWwQ8FIgsXFO4ZlWJZ19erVVmtJENTg4xzHcRSt3xUw+2CpUBhrNpts1cXnHByUFUXBd+nwYj9TU1OXLl0S/MFDmFmWZSaXFQRBKY4BgG8+4EbNY8Fq2h9W4sjI6JuOYxhGs9l8K45lWeaHGx+9K9syRdh/sO06ukoQxMNDPxdSgnAU/mV6UYqi4K2R05yUDp+TyICX3WIKRuVyWa6cAQD8It5ut+H2P+D/gyCA23MAYBgGrqKAu4Vgmibq09x7UObmyzuS8zOw3UaFm2N4yt0fUD58Q5ble/6kmq9jNzhEmD+maebmZ3K53F1Zl5RyTHZ8+JyKopw+/cTdalbOwM7+LESA9XyWmfdtfPzUXTGbVE4hmQ473yj39HvmZ4Sc6Ra5l8wU+xEUjB5/XGfKVYWUPBUf58L8TKEw9qmmMQEz/skzPqfC+dNR7IcvQhD+4QWEUC6Lbz7gRo12cxh1m5g/fInsVpZpmnhrraPKHQBI8zP3ZIoqc0dK0okgiMOCdKROgp2l8S+srYUjI6PDv/6no+AP2SE7ZEdIkkoQQZxU+rmQIgiCIAiCeKjY9117BEEQBEEQJxVaSBEEQRAEQfQILaQIgiAIgiB6hBZSBEEQBEEQPUILKYIgCIIgiB6hhRRBEARBEESP0EKKIAiCIAiiR/qpbE6CnGTnRNqJ45hXOj10f8gO2SE7J88OSbYeX/q5kIq++KV3z18BgIWFhWswE0XRtyYmK5XK7OzsW/F7sizj0f/0Ny8kSfLixCSexQ7l83nP8/4yfmd9PXpp+8Tr4Q82NuKfvvieruuYVFX1l7M/A4AnK2cAAD8/SPKw7ATB6ksTkwBgWdZTL30VAFh8NjZiPgKbmwnmLJVKX7/x52EYvjgxqeu6ZVm8HQD4Pszx/rBDeGIcx9/sdGK5XH7m+rPdkq8svpnLqXyJRzDOfMfD+LDehd0Jk6+23pYk6TezP3Mc5+LK65Ik8aFbWVnu2NNc17384RsA8HP749nZWQB4PbihacO8PxkOBMHq3z590bIsLBQA+FI2N5Ob56/giUK9sttrZWX5F6//WNf1RqPxzPUqAHSzcwTb6yGx8/zEZD6fLxaL37j5MgBcPvtcsVgsl8tPVs60Wks/On8FP6dP5LuTMMCFbrC4eOe1icl8Pp/OKdjhS3niT/63QbD6K/vj2dlZNv/0Fh9WEZZ8dWLSMAysMj+xA8A3738a2ftECtvj/eb5K7quG4bx2FeMKIqwmulLCZtXhQjsR/9xXVeodTpnDojjSp9/2guCgL1US1EUANA0rVQqybIchqGu6+VyeX09iqKoVquVSiXLspIkCcMwn8+bpmkYRpIkAwNSqVTCE1VVHRyUHcdhyf46fIhgNWu1muu6AMDHZ3Nzi4+Apg0DQK1WwzetqqqKoUM77Ci+BZZHOBHfZ+z7Pr6rlR3Fl912S+ZyqlDiEYTveBsbMd+7+PgMDSlDQ3e7paYNC6Hr2NMajcbd99kBaJqGr13TUi88znBgaEjB10hjoUIpSZLw76HjyW6vOI4bjQYANJvNgQEpww5xWNRqtXuvawSoVqv4RnAAKBTG2Oc0fHcSeqnQDcbHT5VKJSwlPRXwdnj4yVnX9QepI1+ROI41bbhWq2GPFSZ2oT/3C1brcrkchuHgoFwulz3P831/YEDK5dRulxJhBt4nwjDEQvevCOLQ6f9CynEcduEJgqDRaPi+DwCbmwleTkZGRh955G5+XdcVRVlbC/EU0zRxhAucO3fOcZz+unp0KJVKYRjy8VlbWxPyBEHguu7CwkJHC3iUhT3jxCAIKpUKTsEA4HmebdtsJhWSeO6xWLzyHW9kZBT/ib0LuPioqhoEq3hUkiRIhS7d05rN5l6uNBkOqKrKAo6F8qUkScIPmbTZjPYCAPymu6sd4rDIGLYZpCdSvpemuwF/Ip9TsMOTJAmbnPuFLMuyLOP6HgDSE7vQn/sF1towjEcflbAgy7Ju3bqVztnxUoIzcH9d2nZsFV+JzWJCnEj6uZBKkqRarfKdRtM00zRxwCdJgv+M41iW5fTpvu87jsOuc/gf/JDP5zVN6++YPzq0221Zlvn4DA7e/cmVVVnTNMuyqtWqMOBXVpZhO86+78dxLBjnT0ySxPO82dlZz/PwqGEYlmWxL4hCEs3GccybxRKPFOmOJ8DHByd6dhESQif0tEajwb7cZ0y1uzqAP8CxQlkpSZIUCmPdTty1vSzL8n1f1/XNzc0MO8QhYllWu31/z750m0hZLxW6AQ+fM7tbSpLEJuc+srKy7Ps+f/eaTezp/twvsNbAXWV83y8Wi7wP+KHjpQRn4P66hERRhAu7vseZOFL09RmpKLJtu1Qq4cQRhqHneUEQ1Ov1P44iTRt+xbYNw/gPK8vj46fedV3P89rt9pMAhcLYa7bNfl5RFAV/isKZYn09qtfrU1NTly5d6qO3hw7Wi/3oJkk74sNHIAhW8TsoAHxZlsMwZCe+Esd41HXdIAhKOxepwomLi3cMy7As6+rVq63WkizLnufl83nDMFofdE66rvv7rSVZ/gxf4mFEKwuh4wGAy/UuIT65nOq67vT0NNwQD6V7WrPZxN/yAECWZcdxisWiYRhw+z4cAADTNN955x0slC8liqK1tbDRaHS81ma3VxzHruvWajXHcS6srkbRJ93sEIdCHMfYYfCXryRJbNsOgsDzvCtJ0mot1et1z/OupU4UulO6l7Ju8Jsf/WZra5PZEXICgNAtGWEYRtE6Ts6apj3Zax0TriLVajWKojAMfd+/dOnST1ITu9CfC4WxXovdAdba8zxd1zVteHHxDvpTq9XUm+ri4p1Go9HxUiLMwH1xRmBkZBTj02636/V6z3Emjjj9XEipqopXHdM0oTKnquqNGzcAYGpqSql8BAB4dPzmKQC495Xl5suSJLETlfkZltM0TZifKRTGpqamAGB6ehoqZ/ro8OHC6gUAUJljQcD48BHQtGGMJADIt+dkWWYnjt+eAwB2VK18xBchnPj44zqGfWpqqlD5iJ1omiZOah2Tj9+ew1P4Eo8UQseDnb2LDwLGZ3p6GpPCIVVVhZ7GP18iy/K9511uvrx3BwBA13VWKN+f1cpPVVU1TZOdyLNre+HRarV6en4G/9/RDnEo7Ogw8zNsgAOAND8zPn7q7pianxFOFLpTugOzbvD5z38e2NjcOVGo3JSb7hWqqqqq+qmm3ZuCekKSpHsVAVAU5fTpJ+5Ws3JGmNgVRezPfYGvNfpTLpfZyB0fP3V3XKQuJcIM3C9/Fhfv4HdXAHg1WC0Uxpg/i9/9UwDAo6+2lnBtfTdna4keNj++PLK1tdUvWyR/QHbIDtkhO2SH7PRgh+QPji/9vCNFHB2SJNmCrUfgkd2zEsRBEcdxh70kDwcDn7RzO/+T6/L5QZJk51jbIY4p/VxILY4VOwoRwbZID8re6F/9A9TOAQBd15+5/myrtcQL7QjqPmm9peOrK9ObHUGXSJblbDs/vPA93/drc99mSkjskKArIwgjdZS9YZ/b7TaThxFyCqXwejlHIc6CShnKzDxz/dmOOTPiI8jn8Ho5l88+BwAdFYPS0esow9Mxp5D8uf0xbtVG9/ijrdbSm1x7pZtSMMt72y3OKyvLM09ftCzLtu3XgxtDQ0q2DhCL87eWr25sbLw2MYlTAcvJFLl6040TpoJs2SR+1Hxn+R3eHzyRlaiqKvrj+/4LH1yJ41gYbs9PTAIA02pi/aeb8FjHfkiXTII4qfRz1143ISJ82JDJ3qythXG8gZpJnufFcSwI7QgnHozax1FG0CUCgHq9bts2v7nMcRwMJgDgo5fr6xE7ykwJujKCMFI32Zs4js+dO8fkYdI5BXi9nEOHF7PhZWbSOxxht/gwBL0czFmtVtlGdz4C6ejxCDI8fM70ia7r4j6s9FHcZc0c4BsobUfwthtxHFuWhQoLAwNStg4QH2dF+SxwUwHCFLl61o0TpoJs2SR+1Aj+CCWihBtuYUuSJD3cMIlbX/n+c1Il7giCuC/6rCPVUYiIVzFxXXdkZJRpJlmWFQSraaGdjsJI+6f2ccRJCyMZhsEuJ0GwihoHtm2zvSe6rmMkfd/nF6AZujJIR9kbWZZxA3/HnGEY2tt0XJ0cLryYDS8zwwttMHaNDyLo5eCVGAA6bpoTopcRLiFnOuye5zmOgw3KH8ULvOAAa6C0Axne8iiK4vu+53kLCwtsYDIdIKEigmhQFK0LWkdMkevBdePYVJAhmySMmrQ/jLW1EKcj9Cc93Bibm4nQf062xB1BEHuhzwupjkJETP4EZW9kWd7c3MQMmISU0E5HYaT9U/s4XoRheOvWLXZdjKLIMAxN0/BiEMdxs9lEjSLYuV9M0JXpuCrtJnvjuq4gD8Ny4iYj5Mg2EIrZsCqzjsezl/gweL0cRVEwFN3uw/HRyw6XEGchWSwWq9WqpmnYuOyooiibm4ngAN+UvJ1dvWUMDEiO41iWVa/XFUURdIA6VoSJBinKED8V8IpcQk7+P/hhV904NhXsXTZJ8IcvEdeIe4GXKUIHTrbEHUEQe6Gfz0ihnkdaiAhFTZjsTevfvr21BbZtG4bhed5T2jDsFNrpqO6zr2ofRx9el2hzMykWi+12G39fKBTG3nYcAMDLG/7+AgC4Q97zvAsXLszPzwOI+jSCMFI32Zsvt5ZyObXRaBSLRZSHEXIK8Ho5aY2cg4cXsxke/hyTmXkq9ZqX7PgIOXm9HEmSeI1BIQJRFPHR40l26gkJOdMnGoaBmSVJ2nFUkqIoYrd1hQYS7AjeZiDLchAEOE5BEnWtBB0gPs5xHEfROpsKCoUxXpGrZ904YSrYVTaJjZrHgtW0P6zEkZHRNx3HMIxms/lWHMuyzA+3HfpPnEzRU9owtt3Jk7gjCOK+6OdCiul5CEJEsC3Sg1+I8RDOquVyGQU8+Bsn3dR9APqp9nG8EISR8EGQcrksV84AAD4N02634fY/4P+DIIDbcwBgGAauoiClTyMII3WTvSns1F6Cyhkhp+Aqr5eTPnrw8GI2ufmZXC53V9Yl1Zey48PnFPRyYLs/A4iKQTA/oygKHz3BN15PSMiZPpG1O1TmhKMon4N2hAZK29ljA8myjCe+//77UDmT1rUS6sKiV5ifKRTGPtU0NhXwT571rBsnCP/sKpt0732UN4c1bZj3hy8RHy/DpHx7x4m8yh1s6z+x/nNSJe4IgrgvSEfqJNhZGv/C2lo4MjI6/Ot/Ogr+kB2yQ3aEJKkEEcRJpZ8LKYIgCIIgiIeKPj9sThAEQRAE8fBACymCIAiCIIgeoYUUQRAEQRBEj9BCiiAIgiAIokdoIUUQBEEQBNEjtJAiCIIgCILoEVpIEQRBEARB9Eg/lc1JkJPskB2yQ3bIDtnpwQ5Jth5f+rmQWhwrvjQxCQDlcvmZ688CwPMTkwCQz+evwQwAvHv+CgB87a//bGhIeXFiEs96K35PlmU8pOv6M9efDcPwxYlJXdcty3qycgYAfjn7M8zMJzMO3VfyEO1grRcWFq7BTBCsYvReWXxTluVfvP5jfJHzM9ermjYsRJK3E8fxN7lwoZ1KpfLEn/yhJD36avc4r6ws86UMDSm8HWwF9GdkZPSbqabM5/O+77/wwRVZlg83zsxVrCYAdAzI7Ozst3/z1tbW1msTk9hF+UPXwx+oqsq3iFAKayAsZX09unn+CkaSHWI9/+f2x7OzswDwenBDCKzQ7kehH5Kd/bAj9Aqhl+JgDILg8odvAMDls88BQLFY/MbNl7PtpJOsHwonCgOcn0amwu+urYV///RFfBnOk5UzSZJ89dT/MD09jSf+9MX3dF3HcbG5mQjDJD2PBUGA3bvVWnrz7HMdK7LfcYadA9MwjMe+YkRR9Cv7Y/R8YyNO1wsALMt66qWv7mv/cV1XuJylc+aAOK7086c9TRsGgFqtxt6+XqvVSqUSe+1XEAT4yq2NjRgPWZaVJEkYhrqul8tlfAuvqqp4qI++HU1YQICLXi6nxnGMMWw2mwMDEqQiyYNvKfZ9H9/AOjAglUolTdNyOVWSBjLiLJQi2GFtNDIymiQJ7wDaMU1T1/UkSQ4kVFkI3albQEql0uc/Pw4AtVoN3+/LH1JVFXa2iABroHK5HIbh4KDMIskOsdcGa5qGL2jTtGHBn+xSiBODMB8KvTSKIvwqsp1Zq1arCwsLu9rhO5vQD4UTM6YRVVVzOZWfYyVJYi97HhyUHcdh4yI9THiEiuCLCztWZJ/oNjB93x8YkHI5lXnesV61Ws113f1zLwxDLHT/iiAOnT4/IxUEQaPRYAMyfdRxnFxOHRkZxf/ouq4oyuZmYhgGAFiWFQSr/XXpKIMBMU2TJV3XZVMVfolJnxWGob0Nzp5BEFQqFXYVZ+wlznwpvB12rizLiqLwZtfWQrRjmqZw6FAQqgndAwIAUbRu27au6x1NCS2SPuq6rmEYjz4qYUEskp7nZZvl/ckuhTgx8POh0EvX1kLWAfCbCeB7x3ezA1xn29xMhH6Ypts0kobPdu7cOcdx9nKWUJHBQTmjIvtEx4F569atdM6O9SqVSmEY7o9jq7iyZDcXiBPJvjxsfu/d8hxJklSr1Wq1urYmdll2V8P3fVmW+UMrK8v74eFRgAWEjTFN00zTjOM4STYty/J9v+OFWVXV2jayLCdJ4nne7Oys53l8to0N8RtqOs58Kd3spJEkqacaHxDdKoJfmhVlyLIsdnOIP5RuEQFsIOgUScMwmFlhUhb82bUU4oSRng+jKEqSxLZt7DCKouDKI5/P78UO62wZMyeSMY0w2P0Y/i5pPp/XNI3dZ2Kl7FqRzc1k14r0nY4Ds1gssgzM8471arfbHaP34ERRhAu77CYgjjv9fEYqCFZ932ffRdgA8zzvGkAURbZtl0qlP0oSAHBd1/O8drv9JICmDb9i24ZheJ73lDYchmG9Xm82mwDwSup+9YmBBQQjFgSrnue5rvv7raVPP41d163Vao7j/MVaqCgKH0mBxcU7hmVYlnX16tVWa6lQGMPQfXm3OK+urvKlBMGqYAfPfSZYzeVU3oGRkdE3HccwjGaz+VYc79McdF/w1ewWkCAIgmA1itbz+bxhGK0PdhyCVIsIYAN5nqfruqYNLy7eqdfrGEk8xMxq2rDjOMVi0TAMuC36MzSkZJRCnBiE+RC4XvoNRVEURdd17HiSJGV8exHs8J1tY+N3fD8UTozjrtPIVBgGwapt2x1LXF+P6vX61NTUpUuXAEBVVX6Y8CipikRR1PFO8P7RbWDWajX1prq4eKfRaKB7Qr0wiVXbp0lsZGS01Vqq1+vtdrterz+5H2UQR4B+LqQ0bfjGjRssKUnSva9i8zN4HwUAxsdPAX8b+ebLLGe5XIbKnKqqU1NTeHD89lwfPTxSsICYpgmVORa9x2/PwXZ8qtXq+PwM8F9q52cEO48/rmPmqampQuUjlrlQGIPMOJ8+/YRQimAHkxpnEx3Am9XouXw0GoivZreAmKapzc9o2vCnmmaaJsbnXhNwXRRbRCiC796SJI2PnyqXyxhJdoiZvfc0W6Y/6VKIE4MwH8LOXnovmRpf2Xb4zvb5z38eAFg/FE5MD3BWisr1dgAQzi0UxnAGnp6ehsoZ2DlM0jXlfxPEcdGxIvtE14G57Y9pmui5UC+WBBAj8CAsLt5hK9RXg9VCYYz5s/jdPwUAPPpqawnvNdzN2Vqih82PL49sbW31yxbJH5AdskN2yA7ZITs92CH5g+NLP+9IEUeHJEm2YOsReOSwHSGIe8RxfPh7E/afjtUc+KSd2/mfXJfPD5IkO8faDnFM6edCKvrilwSBHJQt0XX98odvRFH0rW19o89+9rPff/qiruue512DmSiK3uaSsC1MomkaipFcPvtcsVgsl8u8bMk3bk5p2vAx0pXp2U5agSbbzg8vfM/3/drctzsqvvANxMsdocxMPp9nGjCYvBxMa9rwz+2P8aFUPDFD9ibdXoceZ1S98jzvL+N3eP2njjkz4sNnbrWWXp2YNAyDdVE+IEIELp99rt1us8yCnR+dv9Itp5DkW0EYNYJ+j9CU156+GAQBSwqt2S3OKyvLM09ftCzLtu2Ogljd4vyt5asbGxtMr4vldF0XZZOEFuFligSxH9aHecUgFP7hBYS+D3NC8/Gj5jvL7/D+dNQPY7pocRwLw41XceN1mwS9JeZqx2qOAEEQJ5P+yx/wWz94OSjcvID6Rvm8ZlkW2zSrKAqfBICFhQV+a1W1WuW3geDRo6BgdDAICjQAUK/Xbdtme08ajYbjOExLBh+9XF+P2FFmSmggXu4IAGq1Gi9VxSdd18W9ZuzEDLUYob0OlzAM8/m8aZqGYWTr7sBu8WGgdlStVmNdVAgIH4E4js+dO8dn5ikUxrrlTJ/It4IwagT9HqEpgyDgk0JrdiOOY8uycP98WmlMgI+zonwWdgprAUCj0UBv+ZxJkggyRYLYD1+EIPzDOm2pVGLVZM3HjxrBH6FEQRctPdyY/JLQfzq62q2a2aEmCOL40v+FFC+QY5qmIFPUaDTYtvz0DlWW1DQNd150nIDwKO687a//R5O0TpJhGOxyEgSrmqbhbQO290TXdRQp8H2fl5vbVcHIdV1+eeS6LlucOY6DpgTZm7Su1ZGC6dyYppnWfxLYo8KTLMuyLLMVarYOkCzLqC7NMncLl5BTSMLOVkBw1HTU7+Gbst1usz3qHe10RFEU3/c9z1tYWMDuxAtiCRXh46woSlqvq9lsYlLImS53VxEjJvyDAkK8EhtrPmHUZOiHCbpo6eHGSOs2pV3dezUJgjgZ9HMhlRbIcRyH1yFEtQ+c8QGg0Wjw3/75pGVZ5XKZrQYE8Kgsy0dc0GifCMPw1q1bLMhRFBmGoWkaXgziOG42m77v4ypT1/Xp6WnMKTRQRw06y7L4izH7Ul4sFqvVqqZpSZIIsjeCrtW+1r1nfN93HIdVuaPuzl7iw1hZWfZ9H78k7KoD5Louy5wdLj5nOsm3Av4HR01H/R7WlHEc48qb3cJM2+nIwIDkOI5lWfV6XVEUQRCrY0UwzkGwKuh1NRoNdt9IyMn/Bz90FPvhYcI/OKX4vh/HcbZAV4Z+2N6nkbRuk+DqXqpJEMQJo6/PSO2U4YmiiE273wAIw9DzvCAI8sHqrjNXo9HwPA9l9QU9Knb04sO0iuJ1kjY3k2Kx2G638feFQmHsbccBALy84e8vsC1/4HnehQsX5ufnIdVAsizzckdxHGMSL8Ys+TVJAgDDMPAeIbZdhuxNur0Ol0Jh7DXbxsvb8PDnMnR3suMj5AzD0Pf9S5cu/SSlA5RWUGs0GsViETPzJEmCMjMdc6ZPFFqBIej3CE0pyzK6p+s6VqSbHQFZloMgQOExkDoIdHWLcxzHab0uttmezzk4KCuKwssUCWI/PILwD5NeC4KgFMcAIAh0sVHzWKZ+WFoXjR9ufGte2akfhm3Hu5pRzYw4EwRxrOnnQkqQ4VEUhd0LgcoZVVXv6iQ9fvfuuvDiAj55V/kDAD58Q9CjYkdHDkqn5CjAK9Bo2jDeuiuXy3LlDGyrFrXbbbj9D/j/IAjg9hwAGIaBqyhINZAsy7zc0Y7k/AxLFm6OwbbqMZOryZC9SbfX4cL8MU0zNz+Ty+W66e5kx4fPqSjK6dNP3K0mJ7QDcFdni08KA0HwbXz81F0xm1TO9IlCKwDXMXj9HqEpd7j34Rsd7XRElmV04P3334fKmbQgllAXFr3C/EyhMMbrdfH3nvmcCudeR7EfvghB+IcXEFI7CXSx4Gg3hzP0w9K6aB3V1wBAmp/h9cPSrmZXkyCIEwnpSJ0EO0vjX1hbC0dGRod//U9HwR+yQ3bIjpAklSCCOKn0cyFFEARBEATxULEvLy0mCIIgCIJ4GKCFFEEQBEEQRI/QQoogCIIgCKJHaCFFEARBEATRI7SQIgiCIAiC6BFaSBEEQRAEQfQILaQIgiAIgiB6pJ/K5iTISXbIDtkhO2SH7PRghyRbjy/9XEgtjhVfmpgEgHK5/Mz1ZwHg+YlJAMjn89dgBgDePX8FAL721382NKS8ODGJZ70VvyfLMh7Sdf2Z68+GYfjixKSu65ZlPVk5AwC/nP0ZZuaTGYfuK3mIdrDWCwsL12AmCFYxeq8svinL8i9e/7Gu641G45nrVU0bFiLJ24nj+JtcuNBOpVJ54k/+UJIefbV7nFdWlvlShoYU3g62AvozMjL6zVRT5vN53/df+OCKLMuHHmc+kkK9+OhNhd9dWwtfm5jEgCRJ8q2JyUqlMjs7i/HJCOzKyvJPX3xP1/XZ2dlv/+atra2t1yYmLct66qWvCv6srCzPPH3Rsizbtl8PbgDAS9ut8H2YS7f7zfNX8DM7xBqIlXg9/IGqqoceZ7JzX3aen5jM5/PFYvEbN18GgHfPXwmCQNM0TB7fevHJIFh99+mLmqaVy+XP//t/ncup/zz7Mxx6SZIII3E//GEzJwC8Fb+3vh7dPH9F13XDMB77ihFF0a/sj3EEbWzE/IDa3EzwxI6juL9xdl1XuJylc+aAOK7086c9TRsGgFqtxt6+XqvVSqUSe+1XEAT4LqqNjRgPWZaVJEkYhrqul8tlfAuvqqp4qI++HU1YQICLXi6nxnGMMWw2mwMDEqQiyYNvKfZ9H9/AOjAglUolTdNyOVWSBjLiLJQi2GFtNDIymiQJ7wDaMU1T1/UkSQ4kVLvARzIjehsb8fj4KRYQRVEAQNO0Uqkky+JrZYWADA7KjuNg5s9+NpfLqbVazXXdtDNxHFuWhVPnwIDEWhbfXyt4myQJ+yw0EF+iqqr9jhmx79RqNX7MLiwsWJaF3enEgL0dKxXH8dpaCNtDLz0S9wM2vsrlchiGg4MyjiDf9wcGpFxOZSNIGFA4VXYbxf0iDEMsdP+KIA6dPj8jFQRBo9Fgb19PH3UcJ5dTR0ZG8T+6riuKsrmZGIYBAJZlBcFqf106ymBA7r6eGSAIAtd12SUTr8Tps8IwtLeJ4xhPrFQq9XpdyLmXOPOl8HbYubIs44KDsbYWoh3TNIVDh4UQSegSPSEgsN1jfd/vZpYP7Llz5xzH4TOUSqUwDIWzFEXxfd/zvIWFBUmSYLtl+YZm3iZJwj6nGyhdInG8cF13YWEBP2uaVq/XPc87Il8/+oIkSVgptkAUhl63eayP4PgyDOPRRyUc15Zl3bp1K52z44DqOIr75NgqvhKb3VwgTiT78rD5vVfNcyRJUq1Wq9UqfmURDuEH3/eFGwMrK8v74eFRgAWEjTFN00zTjOM4STYty/J9X9f19Imqqta2kWU5SRLP82ZnZz3P47NtbMTpEvEDizNfSjc7aXBxcHRIRzIjegIY84450wHJ5/OapvGrrna7nb6VNTAgOY5jWVa9Xmc3vUzT9H0/jmPe2yRJCoUx5nm6gdIlEscLy7LYF0vLssrlsq7rR20EPQgjI6NYKbzpMjIyyg+9vY/EBwHHF+wcQcVikWVgI6jjgOo4ivtCFEU4A+x3BIjDpZ/PSAXBqu/7bNZIksS27SAIPM+7BhBFkW3bpVLpj5IEAFzX9Tyv3W4/CaBpw6/YtmEYnuc9pQ2HYViv15vNJgC8EourgRMDCwhGLAhWPc9zXff3W0uffhq7rlur1RzH+Yu1UFEUPpICi4t3DMuwLOvq1aut1lKhMIah+/JucV5dXeVLCYJVwQ6e+0ywmsupvAMjI6NvOo5hGM1m86043qc5aO8IkYzjrOitrCzX63UMSBiG+E26Xq//8faUxxACCwD1en1qaurSpUv/l/UojmPbtgGg42+CQRBgnEG617JBEJTiGACYt1EUra2F7Cau0ECt1hIr8WAiSfSROI4dxykWi/l8Hv/TaDQ8zzthv/LwP13FcbyyssyGnjAS9+nnaRxfnufpuq5pw4uLd/AOWa1WU2+qi4t3Go0G3i1bX4/4AYVJnC33aRIbGRnFUdxut+v1+pP7UQZxBOjnQkrThm/cuMGSkiTduzU1P4P3UQBgfPwUANy72XvzZZazXC5DZU5V1ampKTw4fnuujx4eKVhATNOEyhyL3uO352A7PtVqdXx+BvibfPMzgp3HH9cx89TUVKHyEctcKIxBZpxPn35CKEWwg0mNs4kO4M1q9Fw+Ag0kRDJdL975kZHRu73r5suqqmLMp6amlMpHgtl0YPHE6enpQuWn98xWxAjIsjw9PQ0A77//PlTO8ONC5YJpmqZ6e05VVdM00XOhgQqFMVYiVM70N2jEfiPL8r0HpOZnAOBuQwPAh28cmlv9RlVVVs3Tp58AgN+kphSW3A/48SVJ0vj4qXK5zJ47HB8/dTfs8zPCgGJJgA6juGcWF+/gVywAeDVYLRTGmD+L3/1TAMCjr7aW8F7D3ZytJXrY/PjyyNbWVr9skfwB2SE7ZIfskB2y04Mdkj84vvTzjhRxdEiSZAu2HoFHDtsRgrhHHMdHYm/CPtOxmgOftHM7/5Pr8vlBkmTnWNshjin9XEhFX/zStacvBkHA66bgw30oK4XJP37z/6ooyuWzzxWLxXK5/GTlTBRFbz99Udd1z/PSOkndksddf2XvdpikE2zLQWXb+eGF7/m+X5v7dlp5iFcwAoCf2x/Pzs4CwOvBDdRb4mVvfm5/7LruC63XCoUxoWXxEAB0bC++cY9CnLHjeZ73l/E7TGYG++R9xYfP3GotvToxaRgGBuTy2ecAgMVHiMDls8+1222WWbDzo/NXuuXkkx2HSb1eD4Lg8odvpO1k+JPdfCzOgiCWoDSWEedvLV/d2Nh4bWKSScphTtd1L3/4RrpFXtpW80qL/bA+zCsGofAPLyCUFujiR813lt/h/WFaa6wIXhctjmNhuPEqbqj7lS301bGaI0AQxMmk//IHvG4KPmWJO7pZEh/prVar7BlMRVEsy+L3rhM8guwWANTrddu22d6TRqPhOA6KDwEAPnq5vh6xo8wUr2AEAJqm4UM5TIuFbz7XdavVKj5rJbQsHuqoawU7G/fQCcMwn8+bpmkYBi8zE3fax5AdH0Ycx5o2XKvV2JZvTdOq1Srb6M5HII7jc+fO8Zl5CoWxbjmFZHqYeJ6Hl3/BTrY/sFvz8dXkBbEEYS0BPs6K8lkAqNVqvCRHo9FA5/mcSZIw5bOOYj98EYLwT7ZAFz9qBH+EEgVdtPRwYzpkQv/p6Gq3amaHmiCI40ufF1Ltdht3SLEkbD9bx5KLi3c6nitsWCUYafUjwzDY5SQIVjVNw9sGbO8J22Lt+z4vN5fWWxLgZW88z3McBxUohJbFQ2g5rWt1pFhbC7G+pmnyMjMdFct2jQ8iy7Isy2yFildi2O7h6cwo7swydwuXkFNIIvwwYddsgWx/YGfzZdBREIsJawkV4eOsKEoUrdu2ze/6bjabmBRypsvdVT2LCf9kCHQJoybtD0PQRUsPN8bmZiL0n7Sre68mQRAng34upOI4xgs8u1NSLpdN02RfhTHZTUOl0WjwNwOIboRheOvWLXZ9jaLIMAxN0/BiEMdxs9n0fR+/BOu6jjvIIKW31FGDjpe9KRaL1WpVkqT19XWhZfGQpmlJkgi6Vvtc+x7xfd9xHFbltGIZ7C0+jJWVZd/3cVOSoigYtG734VzXZZmzw8XnTCeBGyZRFAmrW8au/vDNl1FHQRBLENbqWBGMcxCsKsoQr+LdaDTYfSMhJ/8f/LCrehYT/ukm0JU+RfCHL3Hvqk67Cn3tpZoEQZww+vmMlCzLOMPqug6378r5MNEUlvxaSmKK2BVeDmpzMykWi+12G39fKBTG3nYcAMDg4+8vsC1/4HnehQsX5ufnAUS9JVmWUefGMAxsL0H2xjCMer3+H6JI04b5lmWHPM9LX4SOWuMWCmOv2TZe3oaHP8dkZp7a+Wsd7BYfIWcYhr7vX7p06ScAkiTxKqZpBbVGo1EsFjEzT5IkKDPTMWfGiQCgKArelQyCQLCT7Q9kNh+PIIiVVizrFuc4jqNoPZ/PG4bR+uCuthkToeBzDg7KiqKglk9HsR8eQfgnQ6AL87NR81iwmvaHlZjWReOHGx+9K5xMUUehr4xqZsSZIIhjTZ937d0T7PnwDVmW732Tnp9hycLNMegkjPQwvFyvZ3g5KE0bxnsS5XJZrpwBAHzYpd1uw+1/wP8HQQC35wDAMAxcRUFKb2mHzs3Nl9OyN1jK+M1TsLNl2SGUOxJcFfTD+heDHmH+mKaZm5/J5XJ3ZV1SnmfHh8+pKMrp009s60idgZTOFp9UFIXdFBTkoFD25q6YTSpnxxOFYYJJqfIRbyfbH8hsPh5BECstrCXUhUWvMD9TKIx9qmmmaeJ6i7/ZzOdUOG87iv3wRQjCPxkCXVgvFivt5rCmDfP+8CWmddE6qq8BgDQ/c0+mqJPQV3Y1CYI4kZCO1EmwszT+hbW1cGRkdPjX/3QU/CE7ZIfsCElSCSKIk0o/F1IEQRAEQRAPFfvy0mKCIAiCIIiHAVpIEQRBEARB9AgtpAiCIAiCIHqEFlIEQRAEQRA9QgspgiAIgiCIHqGFFEEQBEEQRI/QQoogCIIgCKJH+qlsToKcZIfskB2yQ3bITg92SLL1+NLPhdTiWPGliUkAKJfLz1x/FgCen5gEgHw+fw1mAODd81cA4Gt//WdDQ8qLE5N41lvxe7Is4yFd15+5/mwYhi9OTOq6blnWk5UzAPDL2Z9hZj6Zcei+kodoB2u9sLBwDWaCYBWj98rim7Is/+L1H+u63mg0nrle1bRhIZK8nTiOv8mFC+1UKpUn/uQPJenRV7vHeWVlmS9laEjh7WAroD8jI6PfTDVlPp/3ff+FD67Isny4cY6i6FsTk5VKZXZ2FquZ7nj5fN7zvJfab3zyySe/sj9mOXk7rAlYB+bDBVx/vrjy+tCQ8r/YH8/Ozl4PfwAAQn8+Xv2Q7OyTnZ/bH8/OzgLA68ENTRtmo+bP3ru0sbHx2sQk62nHq17peSwIApw3Wq2lN88+VywWv3Hz5YPxhw1bAHgrfm99Pbp5/oqu64ZhPPYVI4qiX22P042N+KcvvqfrOiY3NxM80bKsp1766qHHOQfEcaWfP+1p2jAA1Go19vb1Wq1WKpXYC8uCIMB3UW1sxHjIsqwkScIw1HW9XC7jW3hVVcVDffTtaMICAlz0cjk1jmOMYbPZHBiQIBVJHnxLse/7+AbWgQGpVCppmpbLqZI0kBFnoRTBDmujkZHRJEl4B9COaZq6ridJciChykJRFADQNK1UKsmyDDvDFYZhPp83TdMwjEcfHRRy8ggdWAgXb3ZwUG61ltCOqqpCfz7QyhNHGE3T8HV7mjbMjxpF+SzsnCqPL1EU4eoQk/jiwoWFhQNzgA3bcrkchuHgoIxj1vf9gQEpl1PZOB0clB3HYUmcKvHN3wfmLXEi6fMzUkEQNBoN9vb19FHHcXI5dWRkFP+j67qiKJubiWEYAGBZVhCs9telowwGxDRNlnRdV1VVTLqu23E1GYahvQ1e4IMgqFQq9XpdyLmXOPOl8HbYubIs40qFsbYWoh3TNIVDhwV2PDab86ythRhh9DZJkm45YWcHzu6Ww8PDjuPgZyHO/akScbIQRg32w25T5TGCjS8AwHUM4AvUDxCcOQ3DePRRCQegZVm3bt1K5zx37hwbtoxSqRSG4QH4SZxU9uVh83uvmudIkqRarVar1bU1scuyL/G+7wv3CVZWlvfDw6MACwj7VqppmmmacRwnyaZlWb7v67qePlFV1do2siwnSeJ53uzsrOd5fLaNjThdIn5gceZL6WYnjSRJPdV4H8HQdQwX4vu+4zhBsCpJUnZO2O7AGd0SAAYGJE3Tui3ICEK4NnccNR2nymNEFEVJkti2jbex8dsaAOTz+YN0A4c/7ByzxWKRZWDjNJ/Pp4dtu91OD3CC2Dv9fEYqCFZ932ffRdgA8zzvGkAURbZtl0qlP0oSAHBd1/O8drv9JICmDb9i24ZheJ73lDYchmG9Xm82mwDwSiyuBk4MLCAYsSBY9TzPdd3fby19+mnsum6tVnMc5y/WQkVR+EgKLC7eMSzDsqyrV6+2WkuFwhiG7su7xXl1dZUvJQhWBTt47jPBai6n8g6MjIy+6TiGYTSbzbfi+NDnoDAMPc8LgqBer/9xFMmyzHtbKIy9ZtulUgkAfve7JIrWWU7h7pHQgYVw8f35hfUojmPLsi5duoSZ+TgTBADIsuw4TrFYNAwDbu8YNd9Z/pc43jgBt6MURVEURdd1XEhJkhRFUfrW+L6CM6fnebqua9rw4uKder3ueV6tVlNvqouLdxqNBrq3vh7V6/WpqSkctpjE2fLQJzHiWNPPhZSmDd+4cYMlJUm6931rfgbvowDA+PgpALj3o9XNl1nOcrkMlTlVVaempvDg+O25Pnp4pGABMU0TKnMseo/fnoPt+FSr1fH5GeC/uc7PCHYef1zHzFNTU4XKRyxzoTAGmXE+ffoJoRTBDiY1ziY6gI9BoOfyEWggVVUxdFNTU0onb1mcR+dnRkdHP9U0lpOnWwfGcPH9uTA/AwC/BJienobKGdgZ5/2rKXGMkGX53kONN1/mR83o7bnR0X/Fno887vBPIIyPn7pbr9RMtU/ww1aSJHSAxXZ8/JRpmqZpwvxMoTCGVxYctiwJAFDp2zy2uHjHtm38/MI///NnP6tgMp/P/8XiHQDA5KutJfxuhjlfbS3Rw+bHl0e2trb6ZYvkD8gO2SE7ZIfskJ0e7JD8wfGln3ekiKNDkiRbsPUIPHLYjhDEPeI4fhgexe9YzYFP2rmd/8l1+fwgSbJzrO0Qx5R91JHi5T2+D3NMtUj/6h9sbiY3OYWeVmvpb5++aFmW4zgXV16XJIk/kdkR1D6Oo65Mb3aYpBPsTabohxe+5/t+be7bqqpmKFdBSufm+YnJfD6PGjBRFL399EVd17/8nf9YKIxdPvtcu902DIPJw9Tr9SAILn/4RtqBy2efKxaL5XL5iMSZ6Uj9ZfwOk5npqN+THR8+c6u19OrEJAvI5bPPAQCTzxEikI4eb+dH5690y8knWYt4nsfrY2mahoOI1+/hDwHAtacvBkHAu9fNHz7OKyvLM09ftCzLtu3XgxuC0lhGnL+1fLWjTpLruthhhBZ5aVsGLC32w/owrxiEU4EwwwjNx4+a7yy/w/vDtNZYEbwuWhzHwnDjZcmCYJX1n5WV5Y6udqzmCBAEcTLZFx0pfNiQJfE5X6ZatLYWxvEGr9AzNKTgxmBN0zRtWDiR1D7SMkX1et22bbb3pNFoOI7D5I7w0cv19YgdZaZ45SrYqXMDALVajT3VoSiKZVm4FyaO43PnztVqNXxmE4vgxWMEqtXqAW/byYDXkeJlZuJO+xiy48OI41jThvmAaJrGy+fwEUhHj6dQGOuWU0jyLYLgiTh2BP0e/hDWi7Vstj9CNS3LQoGMtNKYAB9nppPEP3fcaDTQeT5nkiRM+ayj2A9fhDAVCBMF7Gw+ftQI/gglCrpo6eHG9MOE/tPR1W7VzA41QRDHlz7LH3ieZ9s221uO8h781O+67sjIqKDQo6oqm3Bxk3D6RHiI1T7SMkWGYbDLSRCsapqGtw3Y3hNd1zGSvu/zC1BBuSqN67q8mB7u/JdlGQXQ2f/Z1QI66VodKXgdKV5mpqNi2a7xQTAmLCB4JYYu8jlC9DLCJeRMhx127uvG4mzbTuv3sEMsyfaodzTbEUVRfN/3PG9hYYENTKY0JlRE0OuKonV+KgCAZrOJSSFnutyOYj88bCoQJgq++YRRk/aHISg8ZaiCbW4mQv9Ju7r3ahIEcTLo80LKMAzLsviv6aZp+r6PFwxULZJleXNzEzMwhR6c2dk0J5yIkNoHEobhrVu32IUwiiLDMDRNw4tBHMfNZtP3ffwSrOv69PQ05hSUqzquSi3L4lcDjUYDv/e7ruv7Pm7PiaKIvzALulb7WveeQR0pVuWO0lB7iQ9jZWWZBURRFAxat/twfPSyw8XnTCcBoNFosJsu5XLZNM18Pp/W72GHACCOY1x5szuIabMdGRiQHMexLKter6OGJK801rEiTK9LUYb4qaDRaLD7RkJO/j/4oaPYDw+bCviJIi3MxiP4w5e4d120tLSY4OpeqkkQxAmjzzpS+IuPYRitD5ZkWUZhpCAISnEcx3e1kVr/9u2tLbA5hR4AME3znXfemZ6ehhv3FJXwRFL7gJ0yRZubSbFYbLfb+PtCoTD2tuMAAF7e8PcX2JY/8DzvwoUL8/PzAKJylaBzE8cxJtOrgSiKGo1GsVi8dOnSTwAURcH7YR1/4hH0ww4dXkdqePhzTGbmqZ2/1sFu8RFyhmHo+z4GRJIkXsU0raDGR48nSZJWawn9SefMOBEAcEBpmgYp/R7+EFYE3dN1HW7vYpZHluUgCHCcgtRBsaxbnOM4jqJ1NhWgttk98Qgu5+CgrCgKju6OYj88wlQgTBQAwDcfcKPmsWA17Q8rMa2Lxg83vjWvcDJFT2nD2Ha8qxnVzIw0QRDHmH3RkTJNEydZJu+hVj5SVRW/AeMhXqEHdt444XVB8MT9UPs4XvAyRZo2jPckyuWyXDkDAPj4S7vdhtv/gP8PggBuzwGAYRi4ioKUcpWgc7Mjua0BY1kWfPiGoiisdVA26Z5LKTUmQT+sL9V/EHgdqdz8TC6Xuyszk+pL2fHhcyqKcvr0E3erWTkDXZSrMNkxesy38fFTd7t3KmdW2AFkWb7XK+ZneP0e4dAO97q0ZkdkWcac77//PlTOpBXLhLqw6BXmZwqFsU81jU0F/JNnfE6Fc6+j2A9fhCD8I0wUO+xU5vhYaTeHNW2Y94cvMa2L1lF9DQCk7Thj/0m7ml1NgiBOJKQjdRLsLI1/YW0tHBkZHf71Px0Ff8gO2SE7QpJUggjipNLPhRRBEARBEMRDxb68tJggCIIgCOJhgBZSBEEQBEEQPUILKYIgCIIgiB6hhRRBEARBEESP0EKKIAiCIAiiR2ghRRAEQRAE0SO0kCIIgiAIguiRfiqbkyAn2SE7ZIfskB2y04Mdkmw9vvRzIbU4VnxpYhIAyuXyM9efBYDnJyYBIJ/PX4MZAHj3/BUA+Npf/9nQkPLixCSe9Vb8nizLeEjX9WeuPxuG4YsTk7quW5b1ZOUMAPxy9meYmU9mHLqv5GHZCYJVPlws+crim5Ik/e3TFy3Lchzn4srrIyOjGfFptZb4zJIkMTuKoggtcozic1923j1/JZ/P+77/wgdXMrqT/tU/WFsLX5uYhO2Od8TrRXaOrx02oi3Leuqlr7IkAFwPf8D3w/X1iB36PszBzv4cx7EwW7J59YXWa5Ik/Wb2Z8LYZ3bSwwQAFhYWLgfTURS9NjFZLpcNw3jsKwYmOzqQPUwWF++8ffa5YrFYLpefrJxZWVl+4+xzxWLxGzdfPuA4s2DePH9F13VWr1/ZH8/Ozl4Pf7CxEf/0xfd0Xcfk5mbCN9C+9h/XdYXLWTpnDojjSj9/2tO0YQCo1Wrs7eu1Wq1UKrEXlgVBgO+i2tiI8ZBlWUmShGGo63q5XMa38Kqqiof66NsRhIUL3zXLkrmcOjSk4IuHNU3TtOHs+AiZeTtCEScVjI9pmrquZ3enjY14fPwU63iH7ThxkhkYkEqlEr7eG7gBXiqVhH7IH4JUfxZmS+Dm1aEhZWhIgdTYRztp2AwszNXZDmRXc3z81L1XUgIkScInDwDmfLlcDsNwcFDGse/7/sCAlMupmqaVSiVVVQcHZcdxWFJooH0iDEMsdP+KIA6dPj8jFQRBo9Fgb19PH3UcJ5dTR0ZG8T+6riuKsrmZ4FLAsqwgWO2vS0cZz/Ns29Z1HZNBELiuq6qqqqps6SNJUnZ8hMy8nXQRJ5K1tRDjY5pmdncSOt7Bu0o8hJRKpTAMYXtgmqaZ7ofsEKT6c0anVVWV9XB+7KOdNDgD49EkSfi5OkmSbg7sWkHXdRcWFpgd27aDINh7fB4crLVhGI8+KqHDlmXdunUrnfPcuXOO4wj/ZA20D46t4iux2c0F4kSyLw+b33vVPAd+U6lWq2trYpdlX3p835dlmT+0srK8Hx4eEQzDsCyLTTqappmmGcdxHMe6rjcaDVwA7RofPrNgRyjiRIKXEMZD252Io0m73cZ+iAPT9/04joU8/CGhP2cjy3J67Hcsgs3A/EWdzdWSJPXmAABYloULsjiOFUWp1Wq+79+XhQcEaw07x36xWGQZmD/5fF7TNME91kB9J4oiXNid7K+yRD+fkQqCVd/3+a84+NXE87xrAFEU2bZdKpX+KEkAwHVdz/Pa7faTAJo2/IptG4bhed5T2nAYhvV6vdlsAsArqengxBAEq57n5fN5wzBaHyzJsux5nuu6v99a0rRh0zTfeeed6elpuLF7fPjMaBbtPProo3wRhcLYYVd6XxgZGX3TcQzDaDabb8VxdrhWVpbr9Tp2PILYP9bXI9bxZFlmAzMIglIcr62FrB8Kh4T+LMsyP1sK82oup7quK4x9tCMsDtgM3G63g2A1jjfYXB0Eq1G0nuFAtzrGcRwEq/V6PZ/PYzVxfOm6Drf3M7gcWGvP83Rd17ThxcU79Xrd87xarabeVBcX7zQaDfwmiS0yNTV16dIlSDXQfvg2MjLaai1hQ9frdZpzTir9XEhp2vCNGzdYUpKke7em5mdUVcXk+PgpALj3CNTNl1nOcrkMlTlVVaempvDg+O25Pnp4pGDhMk0TlziYfPz2HADouj49PY05d40Pn5mZRTtCEScSvHkOAKZpyrfnYPt7drdw3U3efPmQ/CUeCgqFMdbxoDLHT49q5SPg+mH6kNCfO86WAADzM7Isp8c+s8PDZmDTNLXbc5o2jM9L4YmaNoxHOzrQDVmWC4UxZgcAxsdP3U1++MZeovTg8LWWJAkdYC6Nj58yTdM0TZifYS0yPT0NlTNCA/XLn8XFO7Zt4+dXg1WMD/qz+N0/BQA8+mprCdfEd3O2luhh8+PLI1tbW/2yRfIHZIfskB2yQ3bITg92SP7g+NLPO1LE0SFJki3YegQeOWxHCOIecRw/DE/4d6zmwCft3M7/5Lp8fpAk2TnWdohjSj8XUtEXv/Tu+StBEGiahiIi156+GAQB0xS5fPa5drv9enBD04b3ktMwjAwxkmOnK9OzHVRCwuRe1I9+eOF7vu/X5r6tqmo3IRlU9vq5/fHs7CwAYKP8cvZn9Xo9CILLH76BrQAAl4PpwUH57acv6rrued41mImiiE+mHejYfIcYZxTF8TzvL+N3mMxMR2GtXePDMrdaS69OTLI6Yqz4DsyUdboFhNn50fkr3XIKSWGY8O3Vai29yen3/Nz+GDd1Y0Wen5jM5/N4dNfmY3FeWVmeefqiZVm2bb8e3BgaUr6ZKfDG4vyt5asbGxsoU8TH2XVd7FpCi7w0MVmpVDqK/bA+nK3MxNSPWPPxo+Y7y+/w/uCJrERVVfeo23QNZoJglfWflZXljq6yauKJuq5f/vANumQSxEmlz7v2FhYW+D1iQRAwTZE4js+dO1er1XBjxV5ynuy9ZnsnLSRTr9dt22Z7TxqNhuM4KJsEAPjo5fp6xI4yU0xIBtE0DR+MQC0WfDKdmdU0rVqt4k4cy7LYnmohKXDUmi8Mw3w+b5qmYRi8zEx6WxPsFh9GHMf4TAm/47JarbJN4NVqFR+/hd0CUiiMdcuZPpEfJrCzvfBBMeaA67q4RQuTtVqNfc5uPqGalmWhluDAgCTLsmEYvu93rAgfZ0X5LKQEzBqNBhbK50ySBOV8uon98EVkKDOx+LDm40eN4I9Q4t51m4T+09FVVk0AeBj08AiC6PNCStM03DGBE1C73WaaIrIs4y79+81JpIVkDMNgl5MgWNU0DW8bsL0nuq7jHmbf93m5OV5IJg1/DcCrC2TuKMZkGIb2NnEcH7XmW1sLsVKmafIyMx0Vy7Ljw5BlGbedY5LFqqOCmhAQIVwZOdOR5IcJ7FyaDA7KvAOe5zmOwzc9L/YDqdbsiKIovu97nrewsMBkiiqVCi5HhIrwcVYUJYrWBQGzZrOJSSFnutyOYj88aWUm/D/ffMKoSfvD2Ltu0+ZmIvSftKusmmgQl6EZdSEI4rjT54WUZVnlchmv4ihixGuKuK7r+z7OU3vJSRNQR8IwvHXrFru+RlFkGIamaXgxiOO42Wz6vo8LIH5DnyAkI2jQRVHEX6cVRcGrMhOVaTQa/N0alsTdQAiu5I5g8/m+7zgOq3JaYgp2i4/AysoyqyOLFbu3JMAHJB2ubjmFpDBM+PZCGVLegWKxWK1WNU1j62Am9oMIrdmRgQHJcRzLsur1uqIoSZJ4njc7O+t5XreKYJyDYFVRhvhbzo1GQ5DbZjn5/+CHjmI/PB2VmTrqJDEEf/gS9y6blJYoE1wVquk4Dlt3EgRxUunzw+aNRsPzPJTDR2EkQC2y2xBFUaPRKBaLv/71r06ffmIvOS9duvST/vp3bOGFZDY3k2Kx2G638feFQmHsbccBAIwh/v4CAKh34HnehQsX5ufnAXYIyWBOx3GKxaJhGHAbUEkPtWQAQJIkNPi1+3T1qDVfoTD2mm3j5W14+HNMZuapnb/WwW7xEXKGYej7PtaRxQpJK6h1C0iSJCgz0zGnkBSGCd9ekiRFUcRfsA3DQLP4RQUr0m2d1w1ZloMgQEUukGBx8Y5hGZZlXb16tdUSZcn4OMdxHEXrvIBZs9lkm/b5nIODsqIoqOXTUeyHJ1uZCQD45gNu1DwWrKb9YSXuXbfpCidT9JQ2jG3Hu8pXM4oitu78xn3FnSCIY0WfF1J3FTvgrojIPb2TD99QFAVvjZy+PbfHnAAAlTP99fCYwgvJMAGYcrksV87AtuhLu92G2/+A/w+CAG7PAYBhGLiKgp1CMlCZk2X53gM326JKdwuqfATbjVK4OSb60CnJOGrNx3R3TNPMzc/kcrm7si4p5Zi9xAdRFOX06SfudtrKGeA78PyMoPSTERCUvbkrZpPKmT6RHyb4l7XXPf2e+RlADa1tJa0dFZmf2XFiJkyj6P3334fKmccf1/GsqampQkqmiI9zYX6mUBj7VNOYgBl/94vPqczPsHp1FPvhi9hVmYlvPr6O2s1hTRvm/eFLTOuQddNtkuZn7skUVebSrvLVPGoDgSCIfYJ0pE6CnaXxL6ythSMjo8O//qej4A/ZITtkR0iSShBBnFT6uZAiCIIgCIJ4qNiXlxYTBEEQBEE8DNBCiiAIgiAIokdoIUUQBEEQBNEjtJAiCIIgCILoEVpIEQRBEARB9AgtpAiCIAiCIHqEFlIEQRAEQRA90k9lcxLkJDtkh+yQHbJDdnqwQ5Ktx5d+LqSiL37p3fNXAGBhYeEazERR9K2JyUqlMjs7+1b8nizLePQ//c0LSZK8ODGJZ7FD+Xze87y/jN9ZX49e2j7xeviDjY34py++p+s6JlVV/eXszwDgycoZAMDPD5I8LDtBsPrSxCQAWJb11EtfBQAWn42NmI/A5maCOUul0tdv/HkYhi9OTOq6blkWbwcAvg9zvD/sEJ4Yx/E3O51YLpefuf5st+Qri2/mcipf4lGL88rK8i9e/7Gu641G45nrVU0bfn5iEgDy+fw1mGGBxW4ZBKs3z1/Bz4KdVmvpb5++aFmW4zgXV17P5VQ+XHzY9a/+wdpa+PdPX+zYBGEY2tt2vh39taIofCl8Kzz2FSOKotcmJjHm6YrwnqcDgqPG9/0XPriyvh7dPH9F1/Vnrj97KP2Z7AhJ7BUd57Fv/+atra2tX9kfz87O/lX0d0IPOeL1EpKt1tKPzl/Bd+Ng8tWJScMwvnHzZdjuojixA8A3738a2ftECgBvxe+xgWAYBo4vjHP6UsLmVTYD71+cXdcVap3OmQPiuNLnn/aCIGBvm1IUBQA0TSuVSrIsh2Go63q5XF5fj6IoqtVqpVLJsqwkScIwzOfzpmkahpEkycCAVCqV8ERVVQcHZcdxWLK/Dh8iWE187ywA8PHZ3NziI6BpwwBQq9XwTauqqmLo0A47yr92XjjE3vNqGIbv+/iuVnYUX3bbLZnLqUKJR404jhuNBgA0m82BAQm2o8FeMMd3yyRJ+Bei8QwNKfi+Z03TNG1YCBcfBFVVczm1WxOoqur7PtrBUcDDmxVinq4I77kAdhjTNHVdD8NwcFAul8v4Huvewkj0l4x57POfHwcAz/MMw0j3kONFoTDGXoYdx7GmDddqNRwywsQuDKh+wQZRuVzmB4Lv+wMDUi6ndruUCDPwPhGGIRa6f0UQh07/F1KO49x9GzFAEASNRgMvKpubCV6lRkZGH3nkbn5d1xVFWVsL8RTTNDtOK+fOnXMcp7+uHh1KpVIYhnx81tbWhDxBELiuu7Cw0NECHmVhzzgxCIJKpYKXbQDwPM+2bV3XOybx3OOyeMXvfB0P8d0ySRK+i/KoqsoiI0l31zF8uDIQmqBcLtu23W0NxJuNonU+5kJFhAHFs7YWYocxTfPRRyUcOJZlBcHqrt4ShwI/j0XRer1e79ZDjimyLMuyjF8GACA9se99QN0XOPoMw+AHwq1bt9I5O15KcAbur0vbjq3iK7FZTIgTST8XUkmSVKtVvtNomobfmPEo/jOOY1mW06f7vu84Dn8ZwBUYAOTzeU3TWPKE0W63ZVnm4zM4ePcnV1ZlTdMsy6pWq8KAX1lZhu04+76fvhvBn5gkied5s7OznufhUcMwLMtiXxCFJJqN45g3iyUeNSzL8n2fX44w+G6ZJEmhMJYxr+HPaqzHCuFi8EHo2ATszlZHf3izijLEx5yvSHpA8eBSj9nED77vdxxcxCHScR5TlKFarXbyvh+urCz7vs9/pWETe8aAekBw9MHOgVAsFnkf8EPHSwnOwP11CYmiCBd2Hacm4sTQz4VUFEW2bTcajXa7DQBhGHqeFwRBvV6PokjThm3brtfrKyvLmjbsum69XsevJoXCmG3beNdkcFBWVbXZbDYaDby6rK9H9XrdsqwTtqjHetm27XmeLMt8fD7/+XE+AkGwiveK6vU6/kiKJ9q2HccxHnVd13EcYSElnLi4eMcwjFqtBgCt1hIezefzhmF0S7qu22otYSOyEg8nXt2J49h1Xbwsra2FSZJglfEqxXfLKIoWF++wLgoAnuedPXuWmTJNk91YEsLFhz0M14JgNaMJXNf1PK/jN2/e7MLCQhSts5gLFREGlMDIyKjjOI1Gw7ZtRfns4uKder3uui7+0iHUizh4MuaxIFiNonXMtk/3Qg6GJEmw47GxFoah7/uXLl2C1MQuDKh++YCjDxdnmjbMBkK5XFZVdW0t7HYpEWbgfvnDMzIy2mot1ev1drvd9/twxNGhnw+bq6qKg8Q0TajMqap648YNAJiamlIqHwEAHh2/eQoA7n1lufmyJEnsRGV+huU0TRPmZwqFsampKQCYnp6Gypk+Ony4sHoBAFTmWBAwPnwENG0YIwkA8u05WZbZieO35wCAHVUrH/FFCCc+/riOYZ+amipUPmInmqZZKIx1Sz5+ew5P4Us8Upw+/QTWq1qtjnP9BwBgfobvlurtOVVVTdPELgoAhmHMz88zU7quT09P4+d0uFgQTt+eY6V0bALLsu728JsvC97yZov/+BEAfKppLOYdK8K85cGfDPDo0O25oaFT5XK5XC53rBdxKHSbx7TKTzVt+FNNq1ar6vzMYbvZO5IkjY+fYuNCUZTTp5+4O/oqZ4SJXVHEAdUX+FkO/bk7EAAAYHz81N3xnrqUCDNwv/xZXLxj2zZ+fjVYLRTGmD+L3/1TAMCjr7aW8Cvf3ZytJXrY/PjyyNbWVr9skfwB2SE7ZIfskB2y04Mdkj84vvTzjhRxdEiSZAu2HoFHds9KEAdFHMfHe4vaAzDwSTu38z+5Lp8fJEl2jrUd4pjSZx2py2efa7fbKCISRdHbT1/Udd3zPCbnEwTBN25OadrwtacvBkFQLBZRbuTn9se4BxVzXj77XLFYLJfLR1A35eDtoIIRJlF2K9vODy98z/f92ty3meYWOyToEv3c/nh2dhYAXg9uaNrwL2d/Vq/XgyC4/OEbrBWwgfgWSbesUErH5jvEOAsqZRl6S7vGh2UW9HIun30OADqGC5NsXAiFMhmejjmFpDBqsF6apj1z/dlWa+nNne2VYUfwtlucV1aWZ56+aFmWbduvBzeGhpRsHSAW528tX93Y2GD6WCyn67rYtXrTjROk19IKanzz8aPmO8vv8P4ICk+qqvKKXHEcC8ONlyVDHTLsPysryx1d7dgP6ZJJECeVfj5sHsfxuXPnmIiIoiiWZfE7txcWFlA4CgCCIGAyPwDgui5uUMJktVpl2iTExkbMy24BAD4jyfaeNBoNx3GYhhA+erm+HrGjzJSgS6RpGj7EwJ5QxssJHuVbgf+cblmBI9V8vJjNrnpL2fFhCHo5mLNarTKZCT4CwrgQEGR4+JzpE4VRgyfiDkF8ZAod2NWO4G034ji2LAvlGAYGpGwdID7OivJZ4PSxkEajgX2mZ904QfgnraDGNx8/agR/hBJ5Ra4kSdLDjcmSCf3npErcEQRxX/RzISXLMu4e5//Jb0PVNA138CVJ0m63bdtmM7LneY7j7Ksw2vFlZGQUP6DsFgDg5hcMVxCsosaBbdts74mu67g93vd9PqoZukTAXer2AmvZMAztbY7gnj5ezGZXvaXs+DAEvRy8EgNAx+11wrjICJeQMz2ghFGDxdm2jRd49p9sO9ne8iiK4vu+53kLCwtpYS2hIoJoUFofq9lsYvLBdeOY8I8g38U3nzBq0v4weEUuRVHSw42xuZkI/edkS9wRBLEX+izI6bquICLSaDTYd0TLssrlMmom4VKA3fwoFovValXTNCYEQnQjDMNbt26x62IURYZhaJqGF4M4jpvNpu/7GEl+G5qgSyTsu46iSLhOZ8NaFrfFIUdWxAjFbFiVO+otZcdHgNfLURQFFyXd7sPx4yI7XMII4pNxHAujplwum6aZz+cVRdncTHgHMuzs6i1jYEByHMeyrHq9riiKoAPUsSJMNEjQx2o0GoLy/oPoxjHhH16+K1t2S/CHL5FX5Momrdd1siXuCILYC319RiqKGo1GsVi8dOnSTzplaDQanuddlCRZlnEu1nUdbgMAGIZRr9c9z5MkCTeFBkHged61Pvp3nEFdona7/STA5mZSLBbb7Tb+vlAojL3tOACAIcXfXwAAt9N7nnfhwgXcCY+6RKVSid23cBynWCwahgG3QVEUvMuFFxvWCl9uLY2MjO69RY5a8xUKY6/ZNl7Fh4c/hzIznuc9tfPXOtgtPkJOppfzEwBJkniNQSECGeMiSRKUmemYU0gKowZFp1DzU5KkKIrY72jZdgRvM5BlOQgCwzA8zwMJFhfvGJZhWdbVq1dbrSXsYB3jHMfxPX2sD5YKhbFms8k0Kficg4Oyoij4CiNe7Gdqagq1iHjwEHvfEZPvCoKgFMcAwDcfcKPmsWA17Q8rcWRk9E3HMQyj2Wy+FceyLPPDjW/NK9syRdh/sO06ukoQxMNDPxdSiqKwmx9M8Im/O4V6HiOC0s+HbwAA3ttAFRymPgIAcJxFVvoIL7ulacMsXHLlDADgczPtdhtu/wP+PwgCuD0HO/WEBKEvWZbvPXCzLXd0t6DKR6wVCpwGGMC9Fun2Ppaj1ny8mE1ufiaXy/F6Szx7iQ8i6OXAzvgIEeg4Lphv92R4UjnTJ/KjRpble00wP4PyOfdtJ7OBZFnGE99//32onEkLawl1YdErzM8UCmO8Phb/5FnPunGC8A8vIKRyvZTJbt17GeLNYdRtYv7wJfKKXPLtHSfyKncAIG3HGfvPSZW4IwjiviAdqZNgZ2n8C2tr4cjI6PCv/+ko+EN2yA7ZEZKkEkQQJ5V+LqQIgiAIgiAeKvr8sDlBEARBEMTDAy2kCIIgCIIgeoQWUgRBEARBED1CCymCIAiCIIgeoYUUQRAEQRBEj9BCiiAIgiAIokdoIUUQBEEQBNEj/VQ2J0FOskN2yA7ZITtkpwc7JNl6fOnnQmpxrPjSxCQAlMvlZ64/CwDPT0wCQD6fvwYzQbCKR19ZfPMznxl6eWJS13XLsp6snGGHAOD7MAcAv5z9GSafrJzplsw4dF/Jw7IThuGLnYLwyuKbkiT97dMXLctyHOfiyuuSJPHxYTlZnHmzcRx/c2JS1/XLH74BAO+ev5LP533ff+GDK3Ecv7ht5634PVmW+QbCzACg6/oz159dWVn+6Yvv6br+xJ/8YS6n+kc7zuj5wsIC39MwXCwglmU99hUjiqLXJiZZ6PgTBbPpOLP4PPWShXaEFimVSl+/8eeYrFQqs7Oz18MfqKrKt8L6esSO/lX0d4qiCPXyfV/X9W7VZHZkWebb62DiTHbuyw62l6Zp6XF6rOvFJ1utpVcnJg3DKJfLfPIbN18+GH/48f5W/N76enTz/BVd1w3DwPH+K/tjHIkbGzHOaZjc3EzwRMuynnrpq/saZ9d1cZ7PsJMD4rjSz5/2NG0YAGq1Gnt5aq1WK5VK+B4rdlTThj/zmc+USqV7b8LaPiS8H/5ko6pqxyDkcurQkIIvHtY0TdOGhfik48yDLy32fT9JkjAMdV03TVPX9SRJNjZiNGJZFr7Hnm8gzFwul/FdyIODsuM4mqblcqqqqgcTk54JgoC9zU0IFwtIEATp0PEnCgiZ+fgMDSnQqUXwVbgDA1KpVNI0rVQqqaoqtAJm9jzPMAxFUYRCbdv2PA9fpisg2BHa60EjSOwD+XweAHAsn0jiONa04Vqthj1WSB4MbPSVy+UwDAcHZRwUvu8PDEi5nMpGIpvTMInjFN/Uvn/uhWGIhe5fEcSh0+dnpDzPs21b1/WOR4MgcF1XUZT09QMPmabZX3+OFxgEVVVVVWVXekmSIBWfXeNcqVSCYHVtLcRJ3DRNRVFGRkYxg67r6SbY3Ewws2VZQbAKAOfOnXMcp+/V3A+CIHAch8VHCBcGBEMaRet86IQTBfg4C/FJkkQownXdhYWFtBGhFdBsvV7vtoDDRdiudtLtRRw12u02ANi2fdiO7BeyLMuy3Gg0OiYPDBx9hmE8+qiEQ8yyrFu3bqVzdpzTSqVSGIb749gqvhL74GNCHCR9XkgZhmFZVrevI5qmpa9YKyvL7JDv+w/nd2s+CHEcx3Gs63qj0WDXeyE+GXFOksTzvNnZ2SiKcBG2R/AeFQD4vi/LMgDgrxIbG0e9RZIkqVar/GzFh4sFxPM8AFCUIRa69IkCfJyF+EiSxLeIpmmWZVWrVX5G9n0ftpfCgtlarZae0OM4NgzDdd2O61fBTrq9iKNGuVw2TRPvS51UVlaWfd9nd9aF5MHAriz8oCgWiywDjkTYntNYEmm32/s0gqIowoVdty+9xMmgn89IBcGq53n5fN4wjNYHSyMjo7ZtB0Hged617aOe5z0FEIZhvV7H30FeiWM85LpuEASlOH5IrgrdgvD7rSVNGzZN85133pmenoYbIMRnfT3i41wojPFmFxfvGJZhWRb8T29sbm45jmMYRrPZfCuOZVl2XdfzvHa7/SRAkiR8A2na8Cu2bRiG53lPacOt1lK9Xp+amgq//zy7lXU0iaLItu1SqYQ3AIRwBcEqBuTq1asLCwu/+93vWOiGhhT+RIF0f2bxmQCIonWhRfDGw5dlWZZlbFZcgY2MjL7JtQJmxiLCMOR/NpUkCX/X63hHSrAjtFcURWfPnp2fn9+HABO9EMex67on+zedKIrCMPR9/9KlS9PT03zyJwflA7uy6LquacOLi3fq9brnebVaTb2pLi7eaTQaOBLX1yOc0y5dusSSOFT36aIzMjKKE2m73a7X60/uRxnEEaCfCylNG75x4wYAmKaJV/darXb32PwMOwo3X1ZVdWpqCo+M354DgLuHANTKR3106SjTLQiP354DAF3Xp6en8ei90G3HR4gzz+OP6/h18PHHdQDA559M05RvzwHAvW+KN1+WJIlvIJYsl8tQmSsUxtC906ef2Ifa9xNVVdFz0zShMieES1VVrPXU1FTxHz8CgE81TeiieKJgtlt/LpfL2u05fBYEdrYIAGCc75mdn8F7+7DdCrIsY+ZqtarOz/Al7miRlD+CHd4fqMwpikKrqCOFLMv3htvOhj4xKIpy+vQTrNPuSFbOHIwP/HiXJGl8/FS5XGa/m4+PnzJNE0cim9Omp6ehcoYlAToMt55ZXLzDfsx9NVgtFMaYP4vf/VPY/qn31dYSfpW9m7O1RA+bH18e2dra6pctkj8gO2SH7JAdskN2erBD8gfHl37ekSKODkmSbMHWI/DIYTtCEPeI41jc4/DQMPBJO7fzP7kunx8kSXaOtR3imNLPhVT0xS/93P4Yt5KiKs/zE5P5fL5YLH7j5stRFL399EVd17/8nf9YKIxdPvtcu91mciN8TjjauikHbwcVpzCJ+k/Zdn544Xu+79fmvq2qaobeEgD83P54dnYWAF4Pbmja8C9nf1av14MgQA2qy2efE9rO8zw8UWg+oRQ8EXVljkKcUc7H87y/jN9hMjMdpX12jQ/LLOjlXD77HACwDixEICNcrdbSj85f6ZZTSF57+mIQBKwUfri1WktvbrdXRzu8e4KdbnFeWVmeefqiZVm2bb8e3BgaUr7JKZ9lxPlby1c3NjZ4vS7M6bouL2/GWoSX3RLEflgf5hWDUPgnrT/HNx8/ar6z/A7vT7bQV7bcWhCssv7DtNYEVzv2Q7pkEsRJpc+79lzXxW1QmKzVauyzoiiWZeHeijiOz507x8uN8DkJgbT+U71et22b7T1pNBqO4zA9IXz0cn09YkeZKUE2SdM0fKCBiRvh5QSPVqtV3HDEtx10aj4BduJRIAzDfD5vmqZhGLzMTMf9odnxYaT1cjRNq1arTP6Aj0B2uAqFsW450ycGQcAPE3644RNU6ED6RME9wU434ji2LAu1BAcGJF6RK52Zj7OifBZSUmeNRgO7EJ8zSRJBdksQ++GLEIR/0vpzfPPxo0bwJ1voK0NuTeg/Ga4SBPHw0H8dKcdxeH0zQVwHt2rLsozb+/lzu8nwEGn9J9w/j3EOglXce2/bNtt7ous67pb3fZ9vjmzZJHap6wjbUSw0XxiG9jZHUL1ibS3ESpmmycvMdNReyo4PQ9DLwSsxbOsGpTPvMVxCzvQwabfbuNESk2y44QWeOZAuUXBPsNMNRVF83/c8b2FhgemZMUUuoSJ8nBVFEfS6AKDZbGJSyJkud1cBMyb8kxYMY80njJq0P4y9y61tbiZC/zlGWmsEQewTfV5IFYvFarWqaRrT87Asi7+6NBoN/B7puq4gNyLkJLoRhuGtW7fYZTKKIsMwNE3Di0Ecx81mE5XNYefuP0E2SdCgi6Io+/raaDTY132++XDTHHJkpSt833cch1W5o/ZSdnwEeL0cRVGw63a7D7f3cAnjgk+iylStVmO3DNlw+8xn5M3NhHeAP1FwL22nGwMDkuM4lmXV63VFUQRFro4VwTgHwSqv1wUAjUZDeG8By8n/Bz90FPvhYcI/gmBYhiqY4A9f4t7l1rppre0aSYIgTjB9ftjcMAzU8JAkKY5jx3GKxWL66hJFUaPRKBaLKDeSkZNAeP2nzc2kWCy22238faFQGHvbcQAAL2/4+wsA4I59z/MuXLiAG+MFvSVZljHshmHAbVAUBe9yMf1JXFR9uSVKVQnNJyDIUx06hcLYa7aNV/Hh4c8xmZmndv5aB7vFR8jJ6+Wg/hM7KkQgI1xJkqDMTMecQlKWZSxF13X0hw23wUF5eXmZ/Y4mnCi4l7bTDVmWgyBAqSqQ7kmUXb16tZXqFXyc4ziOonVe6qzZbLJN8nzOwUFZURRedksQ++ERhH8EwTAAEFTB2Kh5LFhN+wNdhL4y5NaucDJFvNZa2lWCIB4e+ryQwjsWKGwjy/K95zC2ZVQsy4IP31AUhd0mgcqZjjkJHl7/SdOGWZzlyhnYFotqt9tw+x/w/0EQwO05ADAMg8kLCXpLO8J+8+UdBVU+YppGhW1lL+aD0HyCq4I8VX/q/wAwf0zTzM3P5HK5u7IuKeWYvcQHSevldFTkwmRGuFD25q6YTSpn+sR7Zj98A3YON5TP6Vai0CKCnW7Isox23n//faicYRJlU1NThZTeGx/nwvxMoTDG63XxT57xORXOn45iP3wRgvBPWl9NUAW79yLLm8OaNtxZPywl9AXd5dak+Zl7MkWc1lraVYIgHh5IR+ok2Fka/8LaWjgyMjr86386Cv6QHbJDdoQkqQQRxEmlnwspgiAIgiCIh4o+P2xOEARBEATx8EALKYIgCIIgiB6hhRRBEARBEESP0EKKIAiCIAiiR2ghRRAEQRAE0SO0kCIIgiAIgugRWkgRBEEQBEH0SD+VzUmQk+yQHbJDdsgO2enBDkm2Hl/6uZBaHCu+NDEJAOVy+ZnrzwLA8xOTAJDP56/BDAC8e/4KAHztr/9saEh5cWISz3orfk+WZTyk6/oz158Nw/DFiUld1y3LerJyBgB+OfszzMwnMw7dV/IQ7WCtFxYWrsFMEKxi9F5ZfFOW5V+8/mNd1xuNxjPXq5o2LESStxPH8Te5cKGdSqXyxJ/8oSQ9+mr3OK+sLPOlDA0pvB1sBfRnZGT0m6mmzOfzvu+/8MEVWZYPPc6CP926k/7VP1hbC1+bmGQBOdb9h+wcZTsZ4yvdD/kOnCTJtyYmK5XK7OxsupeygQkA02t/E4btv3/6Ij/2gZuB0azneX8Zv7O+Hr20feL18AfMAcuynnrpq/2KT6u19OrEpGEY37j5MgBcPvtcu91myf2IM6s1BnN9Pbp5/oqu64ZhPPYVI4qiX9kfz87OXg9/sLER//TF93Rdx+TmZvJSpwjsR/9xXVe4nKVz5oA4rvTzpz1NGwaAWq3G3r5eq9VKpRJ7YVkQBPjKrY2NGA9ZlpUkSRiGuq6Xy2V8C6+qqnioj74dTVhAgIteLqfGcYwxbDabAwMSpCLJg28p9n0f38A6MCCVSiVN03I5VZIGMuIslCLYYW00MjKaJAnvANoxTVPX9SRJDiRUWQj+ZHSnjY14fPwUC8hhO06cZDLGl9APhQ6sKAoAaJpWKpVkWRbM8pPnwMCAoihszLI5BF9fHYZhPp83TdMwjCRJ2NFSqcQ7gOf2q8qaNlyr1dBmHMfnzp1jyX2C1atcLodhODgo49j3fX9gQMrlVIykqqqDg7LjOCyJUyW+qX3/3AvDEAvdvyKIQ6fPz0gFQdBoNNjb19NHHcfJ5dSRkVH8j67riqJsbiaGYQCAZVlBsNpfl44yGBDTNFnSdV1VVTGJX2LSZ4VhaG8TxzGeWKlUcPbk2Uuc+VJ4O+xcWZZxZmesrYVoxzRN4dChIPiT0Z2EgBy8q8TDRsfxJfTD9IDCidT3/bRB4dwkSfix73mebdu6rgPA2lqIcwtv1nVd0zR5I1h0X5BlWZZl9kValmW8Idcv+93AehmG8eijEtbUsqxbt26lc547d85xHOGfpVIpDMP9cWwVX4l9AEEgDpF9edj83rvlOZIkqVar1Wp1bU3ssuzegO/7wjewlZXl/fDwKMACwsaYpmmmacZxnCSblmX5vo8TooCqqrVtZFlOksTzvNnZWc/z+GwbG3G6RPzA4syX0s1OGkmSeqrxfiH483B2J+IIssfxlR5QOBV0HP48SZJEUcTbNAxDuMnk+77jOPiNAs36vo9fwPaDlZVl3/fZ2tF1XT65T2C9YOfYLxaLLANbkubzeU3ThBVqu91O3/nrC1EU4cJu16YkjjX9fEYqCFZ932e3o5IksW07CALP864BRFFk23apVPqjJAEA13U9z2u3208CaNrwK7ZtGIbneU9pw2EY1uv1ZrMJAK/s24A/dFhAMGJBsOp5nuu6v99a+vTT2HXdWq3mOM5frIWKovCRFFhcvGNYhmVZV69ebbWWCoUxDN2Xd4vz6uoqX0oQrAp28NxngtVcTuUdGBkZfdNxDMNoNptvxfE+zUF7R/AnuzutrCzX63UMCEHsH3EcZ4wvSZJYPxQ6cBzHnucFQVCv1/94+0rMwwZ1fvGOoii1Wg1tyrLseV4+nzcMo/XBUqEw9pptl0olABgclNkMEwRBKY7X1kJ0gD1d0BtRFJ09e3Z+fh4/h2Ho+/6lS5d+AhBFUaPRKBaLmNwnsF6e5+m6rmnDi4t36vW653m1Wk29qS4u3mk0GriyXF+P6vX61NTUpUuXWBJnhn2axEZGRlutJYxzvV6nOeek0s+FlKYN37hxgyUlSbp3a2p+Bu+jAMD4+CkAuPcd5ebLLGe5XIbKnKqqU1NTeHD89lwfPTxSsICYpgmVORa9x2/PwXZ8qtXq+PwM8Df55mcEO48/rmPmqampQuUjlrlQGIPMOJ8+/YRQimAHkxpnEx3Am9XouXwEGijtT3Z3upu8+fIh+Us8FOw6vlg/FDqwLMs4FUxNTSmVj9KW2aB+/KYOAL/hbOKJpmni8GczjDI/oygKm59V3oEHQ1EUXEXh59Onn7g7V1TOKIoyPT19N1/lzIOX1RH+uiNJ0vj4qXK5zFaH4+OnTNM0TRPmZwqFMazy9PQ0VM6wJABApW/z2OLiHdu28fOrwWqhMMb8WfzunwIAHn21tYT3Gu7mbC3Rw+bHl0e2trb6ZYvkD8gO2SE7ZIfskJ0e7JD8wfGln3ekiKNDkiRbsPUIPHLYjhDEPeI4fmif8B/4pJ3b+Z9cl88PkiQ7x9oOcUzp50Iq+uKXLp99rlgslstlJpJRr9eDILj84RuwrSnyenBD04Yvn30OAIrFIuqL/Nz+GPegokyRYIfXW4JjqyvTsx1eOWYv6kc/vPA93/drc99WVTVDuQrDPjs7CwDYKEJ7PT8xmc/nLwfT2F6CHgyfUygl3Q0ON86Cmg7KzKDQzv3Gh2VO6+UA15+FCGSo6bRaSz86f6VbTiF57emLQRCwUt49fyUIAk3TvnHz5VZr6c2zz/EOZJ+IT912DAKL88rK8szTFy3Lsm379eCGoDSWEedvLV/d2Nh4bWKSCRphTtd1scN01DfqKOcTBKs3z19hLZIWDOuWjOO4oxzdYfVDumQSxEmlz7v2qtVqPp9nSXzyEbdIME0R3FihaVq1Wl1YWMCcruviFraOdni9pYcQQXYLAOr1um3bbO9Jo9FwHAdlkwAAH71cX4/YUWZKiKSmafhAA2qx8O0FALVaDVskrQcj5BQQmu9w4dV0eJmZjhuXsuPDEPRyINWf+Qhkq+kUCmPdcqZPDIKA1xJbWFhgW7TwORt0YNcTscRd973HcWxZFm7gTyuNCfBxVpTPAidohDQaDdxaJegbZcv5JEnCWqSjYFi35MMjR0cQxOGyv+/aY1Mn7NQUwSkPANgWP8/zHMfpJowm6C09bKTVjwzDYBeeIFjVNA1vG7C9J7qu455q3/f5qGZHkm8vxHXdOI7TejB8zrSu1ZGCV9PhZWY6KpbtsacJejnp/ixk5qOXES4hZzrs7XYbt09iUtM03KAUBMHgoMwc2PVEzMYedO0Gij16nrewsIDdiVcaEyoiqBZF0ToTNEKazWY3fSME5XwEs0mSsBYR9Jayk9lVIwiC6Bf7+IxUFEXC9I1XdFTKxqmcfRcvFovVarVerydJkpYFwi/TjuM8s3/uHh/CMLx16xa7nRBFEX42DANu/0Mcx3jFwntXuq6zjTNCJAUNunR7AYBlWcnffBO2286yLPjwDSEn234IAEdhE19HfN+/detWLQzx3pLv+4+lNjxnx0fgnl7Oh28oiiL0ZwE+etnh4nMKyTiODcMol8tsAYS3WxYWFnJeDuXZmAPZJ+I9nl0FwwYGJMdx8KbU1xUFlZDYHamOFcE4Xw5WFWWIF0VsNBq4D5/BcqJ2P2zL+ciyzMxKjR8WCmPVahVbRJgZspM8KyvL7NsIQRBEf+nnQkoQjkKBE5QtAbinKfLrX//q9OknhEncMAz8bi1JUjcBqm6C6Q8DvBzU5mZSLBbb7Tb+PlUojL3tOLB9XcTfX2Bb/sDzvAsXLjCVFz6Ssiw7jlMsFg3DgNtie8VxjEe/JkmCHoyQU0BovkOHV9MZHv4ck5l5auevdbBbfIScvF6OJEl8f0534G5qOkmSoMxMx5xCElWCAMX9bgMANBoNz/M0TZMkKYoi9jta9omob7SXd1bIshwEASpygdRBsaxbnOM4jqJ1XtCo2Wyy5ZGgb4SCRh3lfKIoWlsL2csSBL2l7GQcxw+DHB1BEIdOPxdSgnAU/r37jELlI6YpcppT+mE58SsyCv90E6BCvaX/f3v3Gxu3eecJ/BexZsUOh6qMUZWGkywWBS7H28PeG0P0WwdjHLAvLln2dveF4Z0psMAGbgd3aNE4idwiu3H+ON1kt52tod4Wm1EdvVgUSzTIu2oAXV9dZ2p0ccAdiGxxuEUj4qKVYFUcqlQoUL4XP+nx44czY4UZRbL9/byxaD58+PB5HpK/4cz8ZowNvo/I6aAsa0p0l14/S0T8HKXf79PNX/L/R1FEN5eIyHEckeVF6Uld1+98buYgqZIYL7G2cmOGOPMKO8gHI0oqTR04DY6RaI/ruqWVhVKptJ/WJTeXDtM/TMmXQ7k8W/LiiGw6nPZmP5lNrmR+wzvVvvsGt3P/Xch33+D0OcP2KG+o6/qd6TRygHRd53reeecdqp/NZyxTjkX0XmVloVKZ+ciyREIj+ZNncknObzQsnY9pmqZp7h9mfSmfMGzEoq7rD0M6OgA4dsgj9SDUsz77O9vb8fT06akPfnUS2oN6UA/qURaRJQjgQTXOQAoAAADgoXK039oDAAAAeIAhkAIAAAAoCIEUAAAAQEEIpAAAAAAKQiAFAAAAUBACKQAAAICCEEgBAAAAFDTOzOZIyIl6UA/qQT2oB/UUqAcpW+9f4wyk1maqL565QES1Wu2Z179CRF87c4GIyuXya7RARN+/eJWI/uSv/3xy0nj+zAXe6q30bV3XeZVt28+8/pU4jp8/c8G2bc/znqyfJaL3F3/OheXFEas+1uJx1RNFW3J3icVvrb2padrfPf2c53ntdvu5zVenp0+P6J+NjXW5sKZpoh7DMJQRuY/652PVw/2zurr6Gi1sbt76p1f/0bbtbrf7zOsNy5oS83A+/qvt7fjlMxeI6K307SzLvnnmQr1eX1xc5HkoV5um6delft7cvPWz59+2bXtxcfHb//rW7du3Xz5zwfO8p178stKezc1bC08/53leq9V6NbpORC8ezPa/pSWltVG0dePiVf5brOKBlvf4evwD0zSPvZ9Rz+Hr4TOaZ9fr8Q92d1Nl/vy69dPFxcXvJD/c2UmUgVamgTydsiwbOCtOSP9sbKy/dOaC4zhfvXGFiF4492y/3xeLR9fPvPhW+vbOTnLj4lXbth3H+eIfOkmScD8rQ/B6/IO9vYw3HHgWj7d/fN9Xbmf5kiWC+9U439qzrCkiajab3W6X/6fZbM7NzYkfLIuiiH9ya3c35VWe52VZFsexbdu1Wo1/hdc0TV41xradQKK7+LdmxWKpZE5OGvzDw5ZlWdbU6P5RCsv1KLt4gImpRURpmvIM7PV6ExMaSfNwdzednX1UTDzDMIjIsqy5uTnl53Lp4OefwzDk32Y+dUpvt9tc+HOfK5VKJv9yc74xaZp6nseXzokJTYwC/0yv0tosy8TfykDLezRNc9x9BkdrYkKbm5sTwyeP5he+MEtEQRA4jmMYhjLQyjRQptNJnhVpmlrWVLPZFD98fv78ebF4RMT5VavV4jg+dUrnrgvDcGJCK5XMgUNgmiYP0LCzeFziOOadHt0u4NiN+TNSURSJn2ofuLbdbpdK5vT0af4f27YNw9jbyzgU8DwvirbG26STLAiCVqtl2zYvRlHk+z7/UKsIfTRNG90/SmG5nvwuHlQ8tfZ/wZeIiPjGoxRTJh4dzNgwDIdVW6/XRfeeP3++3W7LBebm5uI4VrYyDCMMwyAIVldX5RERzZNbm2WZ+Ds/0Pk9wv1LHs0k2el0OiKGllcp0yA/nU7srNB1Xdd18UJa13V+MHzU++Xzy3Gcz3xG4/Pa87zl5eV8yYFdN/AsHlPDtviXtj+FToBjdCQfNr/zU/OSLMsajUaj0djeVqdslmX8RxiGyoOBzc1bR9HCE8JxHM/zxMs1y7Jc1+XXoHwB4gDonv0jF1bqUXbxQBJTS1ytPM8Lw/Aw4SP31cCSWZYFQbC4uBgEAf9PuVy2LEuOuvr9fv5R1sSE1m63Pc/rdDrioZfrumEYpmkqtzbLskplRrQ8P9D5PcJ9RwyfPJqGMdlsNsVNXV6lTIP8dDrJs2Jz81YYhuI1jO/78uIR4fOL7u66arUqCgwcAmHgWTwWSZLwkD3wL2UfcuMMpKJoKwxD8Tgqy7JWq9XpdPhikSRJq9XimwcR+b7f6XTEu1pc0vd9fier0+m0Wq1Wq5Wm6RhbeKJE0VYQBOVy2XGcjY11XvR9f2NjPU1T13XFM4x79o9cWK7nN7/ZlHdxzAd8ZMTU4rmXpqnv+3yX2t6OlXm4uXlLTLw4joMgiKKo0+kkSaJUu7b2oeM4/KpgY2N9ZyfpdDqe53W73Z2dJIq2Wq1WEAQD3xOMoshxHI7AxIi02+00TeXWJkmytvahaLky0PIej7wTYdxM0+z1et1ul1/GyKMZRVtJssPF4jhWBlqZBsp0OmmzIkmSc+fOib/jOA7D8PLly7zIj3t58Yjw+cWdY1lTa2sfctfVajXTNLe344FDIBaHncVjMT19emNjvdPp9Pv9B/7zFQ+zcX7Y3LKmrl+/LhY1TbvzaGplwTRNXpydfZSI7rxGuXFFlKzValRfMk1zfn6eV87eXBpjC08U0V2u61YqM0TEi4/dXCIi27avXbvGJe/ZP3JhUS3Xo+zigSSmluu6VF96/PEneHY1Go3ZlQWSH5GuLExPn97vvRtXTNPk/pmfnzfq7ynVPvaYzfXMz89X6u/xH0R07dq1Sv1nd6qtq1NU13UejnfeeYfqZ+Xzwqy/JzZ0Xde8uWSapuu63HJloCuVGbFHqp8db6fBp+DOtFxZkEfTqv/MsqY+sqxGo2GuLIgzmgdamQbKdDpps8IwjJWVFfH3448/cXBenDUMQ1yXjq6p8vmladrs7KO1Wk28Zzo7++j++XX3EMg9STTgLC5sbe3DVqvFf78UbVUqM6I9a3/1Z0TEa1/aWOfXePslN9bxYfP71yO3b98eV11If4B6UA/qQT2oB/UUqAfpD+5f43wiBSdHlmW36fYj9MhxNwTgjjRNjeNuw3GZ+G2/dPf/lIb8/UkWUc99XQ/cp8afR4rzpnwn+aFhGEoSEV58NbpuWVPfv3iVP/cnMk6Vy+Vqtcolv3/xahRFlmWNyD5yQvKmfAr1cOIoXsynO8rX86NL3w3DsLn07XzmITmDERH9ovXTxcVFIuJBeX/x551OJ4qiF959QwzKC9E1y5rK54ORSyp7GZg85hj7mSdbEAR/kX5PpJkZmFjrnv0jCufz5RCRmMAvnHu2Wq3WarURHSLq+YeLV4eVVBZfe/q5KIoGniYbG+tvnntWbsDoDeWzb1g/KxmMJieNr49M8Cb6+Zu3Xtnd3X35zAUlgZnv+zxhlBEZlm9JyZMkMgZx4h85gVA+QZd81vzlre/J7VEyPHHepnK5HIbhN358NU1T5XST8+Fx3q8Cib5wywR4UI0/j5RIjqIkERGL/GHzcrlMRPwtXyJqNpsi3RQRra6uPvDfNTs8Je0WEfFnJMV3T7rdbrvd5qwzRMQfvdzZScRaUZWcwYiILMviDzSIsePbCa8Vg5LPB6OUlH06yWMOL47jcrnsuq7jOHKamYHfYxjdP4KSL4dLNhqN1dVVXmw0GjzD6V4dUqnMDCuZ3zCKomGnCX/Lmhtwzw2Vs28YJYORklhLIfezYXyOcgnMut0ufx9CLpll2Yh8S0qeJCXxz+gEXfJZo7RH2SPnbeIvb2ZZlj/dRB4yZf6c5JROAPCpGXP6gyAIRHIUJYmIsshfUxIftSMi3/fFfciyrE6nEwSB+Drrwyyf/Yi/Tca3kyjasiyLHxuI757Yts0pZ8IwlNPN5fMtycStTvB9P03TfD4YuWQcx60DAwsfr+3tmJvquq6cZmZgxrLR/SMo+XL4TkwHszpfWO4QpbtGlMz3ZL/fb7VacvTGp0kURadO6aIB99wwf/YNNDAhlkispRyI3M+GYSTJjpLArNfr8aJSMr/fe+ZJEol/RiToUs6afHuE7e2YY0puT/50E/b2MmX+nNiUTgDwqRnzZ6Qcx6nX6+12+zUiIuJbuOd59O4bYpGvUxxsiQw9XExc2fnbUqurq9o/a+Nt4QMgjuPl5WXxOCFJEv7bcRy6+cs0TfmOxTGo/IU+zmBERO12+xkiJQddkiTK7ZaIPM/L/tvX6e6hVEqKL80RkX5ziXLjfhKEYbi8vNyMY36MEYbhF3NfeB7dP4o7+XLefcMwDA5NxLMlhdwh+e4aVlJZ5KxgtVotf5qUghKnZxMNGL1h/uwbSGQw8n3/Tw2DE2uJJ1IDD4T7+YVoyzAm5aSI3W5XPDdSSnL2ebpXsh+ZSPwjEnT9bpryMzk6GD6F0h55jxwjHoacpuiLSPQFAEQ03kCK83nw33Eca5rW7Xar1erly5d/Qvs5RarV6gcf/Hp29lHf90XW/DRN2+12tVoVt4FutxsEAdLqC77vB0HQ7/efJNrby6rVar/f5/cXKpWZv2m36eC+yO+/EBHnOwiC4NKlS/z9ZM5gNDc3J55bcLc7jkM3yTAMfsol3lfitX+iaWLseCiVkgql8LGrVGZebrX4Lj419XlOMxMEwVN3v1tH9+ofpaTIl/MTIk3T5KCEv9UcRVEQBK+N7JAsyzjNzMCSyqKu67wX27a5PeI00TQtSRLxPtroDTnP1mFOrrsyGGm0tvah4zme573yyisbG+tKQg25n9M0TZKd/QRmP16vVGZ6vZ6IuuSSp07phmH0ej0ikpP9zM/P55MP8SourOu6SNAVRdFcmhKRPHwknTVfjLby7RF7nJ4+/Wa77ThOr9d7K011XZdPN3k0rx6kKeL5w2M3sKkA8PA4kjxSnByFOF0Hk3KKPH5zieQ8UisLuq7f+QDHygIR7Wf+IDo5jzSOl5x2y7Km+IlCrVbT62eJiHuv3+/TzV/y/0dRRDeXiMhxHJHlRcm3dFe337hy147q74m1lRszdPdQKiWVpn46yWMOT2TlcV23tLJQKpX207rkMsccpn+Yki+H7k5VpWRQG9EhnPZmP5lNrmR+wzvVvvsG3X2acPqcYXuUN9R1XT77RnSdksEon1hLORbRe5WVhUpl5iPLEgnM5E+eySUNKdHXwGQ/8i6UxD8jEnTx4IrDtG5Mcd4m0R55j+JRluu6unJ1krLcEZG2snAnTRESfQEAESGP1INRz/rs72xvx9PTp6c++NVJaA/qQT2oR1lEliCAB9U4AykAAACAh8qR/GgxAAAAwMMAgRQAAABAQQikAAAAAApCIAUAAABQEAIpAAAAgIIQSAEAAAAUhEAKAAAAoKBxZjZHQk7U80DWk6apnOn02NuDelAP6nnw6kHK1vvXOAOptZnqi2cuEFGtVnvm9a8Q0dfOXCCicrn8Gi1E0Rav/dbam5/97OSVMxds2/Y878n6WbGKiP6Wlojo/cWf8+KT9bPDFkes+liLx1VPHMfPD+qEb629qWna3z39nOd57Xb7uc1XNU2T+0eUFP0sV5um6dfPXLBt+4V33yCi71+8Wi6XwzD8xo+vpmn6/EE9b6Vv67ouDxAXJiLbtp95/Subm7d+9vzbtm0/8ce/XyqZ4cnuZ2756urqa7TAHSsOc2cnEb330sbfaJr2r4s/H9ix4pAXFxdfj39gmibvxfd97sxftH66uLhIRK9G1y1rSm7PiAZE0ZY8mkQk72VvL7tx8SpvOGwolRnC4765eeufXv1H27a73e4zrzeIaFg9J3C8HpJ65LNPzMNarfYHf3lhc/PW3z/9HI/swJL1en1xcfE7yQ8Nwxg227+d/HUUbf269dPFxUU+o+VTWJmHuq7L9WxsrL905gL/mvWT9bNZll059ywRfcL5I6r96o0rRPTCuWf7/b5YPIp+lm8ffL7fuHjVtm3Hcb74h06SJNw/r8c/2N1NlVOPN/Q876kXv3yk88f3fTHWw+opEdyvxvnWnmVNEVGz2RQ/ntpsNufm5vh3rMRay5r67Gc/Ozc3d+eXsA5WKb8P/2AzTXNgJ5RK5uSkwT88bFmWZU0p/ZPvZxn/aHEYhlmWxXFs27brurZtZ1m2u5tyJZ7n8e/YywPEhWu1Gv8W8qlTervdtiyrVDJN0/x0+qSwKIrEr7kphyn33uSkMTlp0JCOFYc8NzcnDrnb7e7/nh2RZVn8s2tW7gePRzRAGU1lL1mWyb9DJxNDyb+tq4x7mqbdbpeIer3exIQ2oh44FsrZJw+fruuGYYiRHVgyCALHcQzDyNcsJhuv5bmk67pyCufPdyFNU8uaajab4nfHNzdvNRqNOz8uWYhSbZqm58+fl/dyFETH1mq1OI5PndK5B8IwnJjQSiVTnGvKqTcxoc3NzfHvrx9d8+I45p0e3S7g2I35M1JBELRaLdu2B66Nosj3fcMw8lcHXiXuWA8n7gTTNE3TFEGSpmmU65979nO9Xo+ire3tmG/hrusahjE9fZoL2LadH4K9vYwLe54XRVtEdP78+Xa7PfbDPApRFLXbbe6f/GGK3jNNkw+NhnRs/pB7vd6wfj5kA/KjKe8lyzKx4cBq6/W62Dw/7vxK9571wKdPOfvo7uHLskyM7MCSnU5nWGQsT7Ysy7rdbhiGlDuFR5zvuq7rus6BOEuSpN1uf8KQQqlW13V+YvpJ6jwMPosdx/nMZzQ+Us/zlpeX8yUHXtPm5ubiOD6ahm3xT2J/Cp0Ax2jMgZTjOJ7nDXv9YVlW/kK/uXlLrArDME3T8TbpviB3QpqmaZryBUjcMpX+GdHPWZYFQbC4uJgkCd+2D0m8Zg3DUNd1IiqXy5Zl7e6e9BHJsoxfTA+7Wsm9xxf6YR3Lh8y3JSLqdrviKemIS+09G6CMpthLlmWVysywDcVQBkHA/6OMu+d5YRjatr23tzeiHjgW+bNPDF+WZUmSiJEdWLLZbA58GaNMNk3T+FEWDTqFR9jcvBWGoXgirut6o9GwLEt5dvVxKdX6vi8vHhFxZ5F7oFqtigLijFZOcNbv9+/ZXcUkScKB3WFejMH9a5yBVBRtBUFQLpcdx9nYWM+yrNVqdTodvhzwWr5wxHHc6XRarVar1UrTlFf5vt9utx+eQGpYJ2xsrKdp6rqueFKi9I/Sz0q1a2sf8lWYiPb2brfb7W63y7sgIt/3O50Ovw5WBsiypnjR933LmtrZSTqdjud5R/RabYySJGm1Wt1ut9/f/7SmfJhK75VK5rCOFYcswpFerydCf13X2+12p9PhF/2HbwARyaMp7yVJkrW1D+UNZfJQbmysK+Oepqnv+3y73draGlEPHIvp6dPy2ScP37/8y78YhiFGdmBJriR/9smTLY7jJNmJoqjT6SRJopzClJuHciVxHIdhePnyZf4fwzA6nU4QBB/r1RdXde7cuYHVJknCT8vEXo6CfGexrKm1tQ+5B2q1mmma29txt9vl1x7KCc6LrVYrCIIjCqSmp09vbKx3Op1+vz/wkxjwYBjnh80ta+r69etE5LpupTJDRHylICJaWRBr6cYV0zTn5+d5zezNJSLaX0Vk1t8bY5NOsmGd8NjNJSKybfvatWu89k7XHfSP0s+yxx6z+fXfY4/ZRMQfenBdV7+5RER3XhreuKJpmjxAYrFWq1F9qVKZ4eY9/vgTR3D042SaJrfcdV2qq4eZ771hHStG5Nq1a1Q/S9wVB/glu6j28A2gu0dTdOy1a9fM+s9M03RdV2woE0M5Pz9fGTTuvLbRaDy+ssD/P7AeOBb8ng4dnH26rovh+9KXvkRE/yqN7MCSjUbDXFlQqpUnm3lzyTTNjyxrfn7eqL9HB5dcPoUpNw8FwzAef/yJO6c/kWVN1Wo1seHhGYaxsrIyoNr6WcMwxLTnE+ooyGexpmmzs4/uHwgREc3OPrp/XqwsyKce1c+KRSIa41mztvZhq9Xiv1+KtiqVGdGetb/6MyLitS8dPGvYL7mxjg+b378euX379rjqQvoD1IN6UA/qQT2op0A9SH9w/xrnEyk4ObIsu023H6FHjrshAHekaTrgS2gPh4nf9kt3/09pyN+fZBH13Nf1wH1q/HmkOP3JsKQd9Xr9iT/+faJH/sfdCXuUDEYLTz/neV6r1Xo1up5l2cDsPvdjXpli9YzOB5Ov50eXvhuGYXPp26KvxCo53RENSozU6XSiKOK0SV87c6FcLr8QXbOsqXw+GLmkshfesFqtysljjrGfOUlPEAR/kX5PpJnJp+A6TP+Iwvl8OUQkDvmFc89Wq1XO0EMjs+lsbKz/w8Wrw0oqi689/VwURWIv3794NYoiy7K+euPKxsb6m+eelRswekP+1O3AThD9rJyJk5OGnNdqRD9/89Yru7u7L5+5oKQ6Exm5lBEZcd2Qz3eRMYgT/+Tzzw3L5vWXt74nt4c3FHvk688h061F0ZaYP8MSjw2ch7hlAjyoxvlhc07LMSxph0iOYhhGqVSSVynpT9I09TyPv9c9MaENzO7zUMnng+HPSMpfLmu329x7RMQfvdzZScRaUZWc7ohyiZH4w7Ci2mazyR/dyOeDUUoqxIYnQRzH5XLZdV3HceQ0MwO/1jC6f4R8Gh7LshqNxurqKi82Go1yuSwKj8imU6nMDCuZ3zCKIrljV1dXxZf4+BM53IB7bsh7zH9qXqGciUpeK4Xcz4bxOcqlOhMZueSSWZaNvm7Iu1AS/+Tzzw3L5qW0R9nj4dOtKfMHlyYAoKP+rT0laQcnR+HLn7xKSX/CqeqCIFhdXc3n3XkI5fPB8Je5+HYSRVuWZfFjA/HdE9u2uevCMJRzw8gZaPLk5JPM931OGaDkg5FLxnHcOiCiE9/3RVRxvLa3Y26q67pymhmRUEo2un8EJV8O34mJaOCX5pTeG9hdA0vmu73f77daLTl6429aRVF06pQuGnDPDbmY+KDrMPkzUc5rpRyI3M+GYSTJjpLySmTkUkrm93vP810k/lHSgI3I5pVvj3D4dGt7e5kyfx7ySxMA0BEFUsOSdvDtn7+xL69S0p9MTGjtdtvzvE6nw5etgck/HlpxHC8vL4vbZJIkjuNYlsU3gzRNe70e5yiiu78vpmSgUb5ZnSSJcrslIvGiXM4Ho5TkrxExEcl5nneivoofhmG73RaHPDDRzuj+Ucj5cgzD4IMVz5YUcu8N7K6BJZXFNE35DBIngud5tVrNtu1SqbS3l8kNGL1hrVZzXXdYawXlTFTyWg08EO7nKNoyjEk55ZWckUspKf8P/3HP810k/pHTgI3O5qW0R97j4b/wPyzXGi5NAA+zcX5GyjTNXq9HRHLSjvn5eU4iIidH2drakldZ1tS3Wi3HcYIgeMqaStM0iiJeJE2t5+Hk+34QBP1+/0mivb2sWq32+31+f6FSmfmbdpuIuHv5/Rci4m/IB0Fw6dIl/n4yZ6CZm5sTzy3a7Xa1WnUch24SJ7bxfV+8r8Rr/0TTOB9MtVq9fPnyT0gtqRAb3vM+/emoVGZebrX4Lj419XlOM8MzTSk5un+UkiJfzk+INE0Tc5sOEnRFURQEwWtESu/JsizjNDMDSyqLuq7zXmzb5vZ0u90gCCzL0jQtSRLxPtroDTkB1WF+s0LXdflMXFv70PEcz/NeeeWVjY11JfWG3M9pmibJzn7Kqx+vVyozvV5PfNleLnnqlG4YxojrhoxXcWFd10UasCiK5tKUiOThI+ms+WK0lW+P2OP09Ok3223HcXq93ltpquu6fLrJo3n1IE0Rzx8eu4f80gQAY/7W3p1sOrmkHSLbB19/5VVKBiNd1/khyjvvvCNn+xDZfR5CSmIk/iBIrVbT62fpIAlNv9+nm7/k/4+iiG4uEZHjOCLLi5LuaGBipP0d1d8Tays3ZkjKvSSGQJRUmnpXtbksOJ8+Mbtc1y2tLJRKpWH5cg7TP0zJl0N3p0xTEnSNyKbDaW/2k9nkSuY3vFPtu2+QSBxFRO++welzhu1R3lDX9TvTaeQAKWdiPq+Vciyi9yorC5XKzEeWJVJeyZ88k0saKws08roh70JJ/JPPEDYsm5d1Y8qypuT2yHtUEj7R8HRr2srCnTRFUq61h/nSBADII/Ug1LM++zvb2/H09OmpD351EtqDelAP6lEWkSUI4EE1zkAKAAAA4KFytN/aAwAAAHiAIZACAAAAKAiBFAAAAEBBCKQAAAAACkIgBQAAAFAQAikAAACAghBIAQAAABQ0zszmSMiJelAP6kE9qAf1FKgHKVvvX+MMpNZmqi+euUBEtVrtmde/QkRfO3OBiMrl8mu0QETfv3iViP7kr/98ctJ4/swF3uqt9G1d13mVbdvPvP6VOI6fP3PBtm3P856snyWi9xd/zoXlxRGrPtbiMdbDR726uvoaLUTRFvfet9be1HX9n179R9u2u93uM683LGtK6Um5njRNvy51F9dTr9ef+OPf17TPvDS8nzc3b8l7mZw05Hp4FLg909Onv54bynK5HIbhN358Vdf1Y+9nuT1ElO8QIqrVarUrf7S9Hf/9088NnFqbm7cWnn7O87xWq/VqdH1gh/Ci/eV/v70dv3zmAndslmXfPHOhXq8vLi6+lb69s5O8eNDtf0tLcgP4vDhp8xD1HEU9yrjLi0+96CVJ8uvWTxcXF7+T/NAwjPvouOTFJ/74P+zsJO9d+m4QBI1GI1/PL1o/9X2fiOTrhmVZI06Ewv1MRHz23bh41bZtx3G++IeO6OfX4x/s7qY/e/5t27Z5cW8v4w09z3vqxS8faT/7vq9cc/IlSwT3q3G+tWdZU0TUbDbFr683m825uTnxg2VRFPFPbu3uprzK87wsy+I4tm27Vqvxr/Capsmrxti2k0l0CEm9VyqZaZpyH/Z6vYkJjXI9KeNfKQ7DkH+BdWJCm5ubsyyrVDI1bWJEPyt7UeoRYzQ9fTrLMrkBXI/rurZtZ1n2qXTVKEp7lAMRHdvpdEzTLJXMYVMrTVPP8/iSl+8QeVru7qazs4+KjjUMg4gsy5qbm9N1XeyRf5dXbsCn1CNwAijXQ3mR/w6CwHEcnjz3KcMwpqdP7//g4yC+7zcaDXHh4h8y519VHxfRsbVaLY7jU6d0vsSFYTgxoZVKJp+YpmmeOqW3222xyJdK/v31MbZHEccx7/TodgHHbsyfkYqiqNvtil9fz69tt9ulkjk9fZr/x7ZtwzD29jI+tTzPi6Kt8TbpJOMOEZehKIp83zdNkxf5jp7fKo7j1oE0TXnDer2ev08fpp/lvcj1iG11XVeu9dvbMdfjuu5JuA3k26N0SBAErVbLtu3R9RiGEYZhEASrq6uapuXrEZSOpYOZH4Yh/z8PpRjZQzYAHjDK9VBeTJKdTqcj/5bz/SsMw2q1OnBVEATtdltEKnzsrVZrvA3g081xnM98RuPz0fO85eXlfMnz58+3223lP+fm5uI4Hm+TDhq2xT+JLR4uwAPpSD5sfuen5iVZlvFLk+1tdcqKpxphGOq6Lq/a3Lx1FC08CUSHiHPMsizXddM0zbI9z/PCMBx46zVNs3lA1/Usy4IgWFxcDIJALra7m+b3yH+Ifpb3MqyePA4yTg6lPfkDcRzH8zx+sCTkp9bEhNZutz3P63Q6hmGM6JD8tjx2Yrx4MQxDjnQHNgAeEsr1kBcNY7LZbOZv6vejbrc7LCKsVquNRsOyLL741Go113X5udQY8elGd1/i5NhOvMLhNxbFIuv3+8p9Z1ySJOHADi+iHmzj/IxUFG2FYShefmVZ1mq1oigKguA1oiRJWq3W3Nzcf8wyIvJ9PwiCfr//JJFlTX2r1XIcJwiCp6ypOI47nU6v1yOib6VqNPDAEB3CPRZFW0EQ+L7/bzfWP/oo9X2fr7P/dTs2DEPuScXa2oeO53ie98orr2xsrFcqM9x1f3Cvft7a2pL3EkVbSj287TPRVqlkyg2Ynj79ZrvtOE6v13srTY/oGnR4Sns2NtblA9F1PQiCcrnsOE74TvjII/sviPNTS9f1KIq4f0hTO3Zy0pCn5ebmrU6nwx0bx3EQBFEUdTqdP0qS3d2UhzKKork03dlJRAM2frxeqcwcQx/Bp065HsqLUbSVJDv8/3Eci4fQD4AkSc6dO7eyssKLjuN0Op0gCDRNS9PU9/2xv8nFV84gCGzbtqyptbUPeY/NZtO8Ya6tfdjtdvk1zM5O0ul05ufnL1++LBb5jD6ii9j09OmNjXW+UHQ6nSePYh9wAowzkLKsqevXr4tFTdPuvBRbWeDnKEQ0O/soEd150+rGFVGyVqtRfck0zfn5eV45e3NpjC08UUSHuK5L9SXRe4/dXKKD/mk0GrMrCyS/qF1ZUOp57DGbC8/Pz1fq74nCfMMe0c+PP/6EshelHl60pDq5Afywmluun4ABUtqT7xDuWPHEaH8e5lqu6/q1a9eI6J133qH62Xw9yrTcX7xxxTRN3sX8/LxRf88wDHEimHc3AFHUw0O5HsqLljVlWVMfWVaj0TBzZ/R9R/4EgmEYIooivtQcXHB0Xb9TcnxHLXespmmzs4/WajXxhGx29lHXdV3XpZWFSmWGz9lr165R/axYJCKqj+06trb2oXjv8qVoq1KZEe1Z+6s/o4N3Nl/aWOdnDfslN9bxYfP71yO3b98eV11If4B6UA/qQT2oB/UUqAfpD+5f43wiBSdHlmW36fYj9MhxNwTgjjRNj/+7Ccdk4rf90t3/Uxry9ydZRD33dT1wnxpnIJV86fdee/q5KIqq1epXb1whoq+duVAul8XiC+ee7ff7r0bXLWuK/3YcR14lFr9/8WoURZZl8eLJyZtyLPWIlE50kA5qdD0/uvTdMAybS982TXNE5ioi+kXrp4uLi0TEg/L+4s87nU4URS+8+wYd5ID5xsbLlcqMkg9GKans5YVzz1ar1VqtdkL6mbPXBEHwF+n3RJqZgZls7tk/ovDGxvpLZy7IE5iI5Kku94AyvZV6/uHi1WElR58X8qBsbKy/ee5Z5VwTGyon5ujhE/08OrHWiH7+5q1Xdnd3Xz5zQUmd5fs+71EZkRHpfKJo68bFq2JElARmIxbTNB2Yju645iFumQAPqvGnP5BzHTWbTbGYpun58+ebzWaWZeJv/gygskhEq6ur+JaToKTdIqJOp9NqtcR3T7rdbrvd5uxQRMQfvdzZScRaUZWcuYqILMviDwyJxDZ8H+K1nAOGP9aj5INRSioajcbYv5hTWBzH5XLZdV3HceQ0M+mg7zGM7h8hTVPLmpJnrGVZjUZjdXWVF+UeyE9vWaUyM6zkPc8LeVD4g2LcgPyGyok5evjkwxyRWEsh97NhfI5yqbO63S5/tUoumWXZ6HQ+WZaJEVESho1efHjS0QHA8RpzINXv9/nrXeJ/fN/ni7uu65xEW/k7v0hElmXxNy9OQr7HY5fPWuQ4jrjxRNGWZVn82EB898S2bU4KEIahfH9SMlcpxK2OcQ4Y/qq/kg9GLpnPa3WibG/H3FTXdeU0MwMzlo3uH0HXdV3XxYzlWzgdpMnJF5an94ju+rjnhRgUDhBFA/IbKiemMtDDjE6spRyI3M+GYSTJjpI6q9fr8aJSUhTgdD5KtVmWiRFREoaNXrzn0QEAjMU439pL09RxnFqtJudb4xs8/823YQ4L+G/P8+jdN/KL/DpydXVV++eTlbLoJIjjeHl5WWQHTpKE/3Ych27+Mk1TvmPxvda2bf4mGh1kriKidrv9DJGSgy5JEuV2yzlgtHevZVnGf3c6HX6gKJcUXz8kopPwJb6BwjBcXl5uxjE/WwrD8Iu5LzyP7h/F5uatMAx5xhqGwRHMsOdw8vQe3V0f67wQg/LZz+pJksgNkDdUTsz8QA8jEmv5vv+nB4m15FTv+QPhfn4h2jKMSTkpYrfb5TzvgijJufvpIJ2PruuiWq37o0plptFo8IgoCcNGL8o2N2+JVyMAAOM1zkCKE/YQJx+7SWmattvtarXKF/ckSbrdbrVa/eCDX1cqM/z35cuXfyKt4kUi6na7QRAgrb4gp4Pa28uq1Wq/3+f3pyqVmb9pt4mIO5/ff6GD9AdBEFy6dIm/kKxkrtJ1nQfIcRy6SYZh8FMucX/lHDD/OUksa0rOB5MvKVPyhx27SmXm5VaL7+JTU58XaWaeuvvdOrpX/ygl4zgOw5BnrKZpctLOfAY1ZXrLJTnNzMCS9zwvxKCcOqXfunVLvI+mbKicmKOHTzY6sZaSykHu5zRNk2RHTp3V6/VEeCSXPHVK396Oh6XzSZJkezsW2cCVhGGjF9M0fRjS0QHAsRvzt/buZBt69w1d1+98LGNlwTAMfjTy+M0l4kwerH5WrOJFItrP/EHEL8RBTgdlWVMiO4teP0tE3M/9fp9u/pL/P4oiurlERI7jiLQuSuaquwboxpW7dlR/jw5ywMzeeJTuzgeTLylT8oeNrw8KEu1xXbe0slAqlfbTuuQyxxymf5hhGI8//sT+YdbPUi7PlryYn95y22ZnH91PZpMrec/zQh4UTp8zbI/yicn/Dhs+2T0TaynHInqvsrJQqcx8ZFkidZb8yTO5pLGyYBjGsHQ+pmmaprl/1PWlfAKzEYu6rj8M6egA4Nghj9SDUM/67O9sb8fT06enPvjVSWgP6kE9qEdZRJYggAfVOAMpAAAAgIfKkfxoMQAAAMDDAIEUAAAAQEEIpAAAAAAKQiAFAAAAUBACKQAAAICCEEgBAAAAFIRACgAAAKAgBFIAAAAABSGQAgAAACgIgRQAAABAQQikAAAAAApCIAUAAABQEAIpAAAAgIIQSAEAAAAUhEAKAAAAoCAEUgAAAAAFIZACAAAAKAiBFAAAAEBBCKQAAAAACkIgBQAAAFAQAikAAACAghBIAQAAABSEQAoAAACgIARSAAAAAAUhkAIAAAAoCIEUAAAAQEEIpAAAAAAKQiAFAAAAUBACKQAAAICCEEgBAAAAFIRACgAAAKAgBFIAAAAABSGQAgAAACgIgRQAAABAQQikAAAAAApCIAUAAABQEAIpAAAAgIIQSAEAAAAUhEAKAAAAoCAEUgAAAAAFIZACAAAAKAiBFAAAAEBBCKQAAAAACkIgBQAAAFAQAikAAACAghBIAQAAABSEQAoAAACgoM+Msa69z5WTL/0e/238n/9NRAMXR6z6WIuoB/WgHtSDelDPw1DPxG/7BCfVOAOp5Eu/9/7iz/nvJ+tniWjg4ohVH2sR9aCeB7ueKNp68cwFXnwrfVvX9R9d+i4Rua57vMfl+/4L775xz3q+duZCs9kssOGI9nz/4tVarfaxNlR2OmKVvNhqtZTGj6ufeS9RtPX/xjden6RjeTHLsivnnrUs6xs/vqrr+hHNnwLD9wnnYZqm//cT9LPv+57nFR73L/ynfzM5afyv1k8XFxfn5ub+9Pp/iaKtn1z6bhiG3M9fO3OBiMrl8mu0wP1TLpfFWrm7SgQnF97aAzihLGuKiJrNZq1Wy7KMiFzXlQt0Op1WqxWGIRHFcdxut4MgSNOUiLrdbqvVCoLg4+40jmNR50C+7zuOw3/zXrhwkiTdbpf/M03TOI49zxNbdbvddrttWVZ+wzRNgyCQdxqGYavV6na7WZYp7Ymi6PAHpex09IEozVMaz52ZJEmSJHLHKi1Xul0+TGUvWZYd8kDSNO12u1EUcYeMOJDRJbMs47W+7+c7dnPzFhHZtq3rutJyZUN5bZqm3CGinjRNxdjle+CQw5evdsRRj2hPkiRRtNXtdpUBuudx0cEJNWzyyOOen8DCqVP6xsa6ZVlzc3Ou68ZxfOqU7rqubdu8x2azOTc312g0eI+2bctrP9Zsh2OEQArg5OKrvOM4hmHk1zqO02w2fd+Poi1N0zzPa7VafCPsdDrNZjOKovxWfAdlSZLcvbstTdO4zoH3bCIKgoBvYFG0ZVmWKKzrer/fJ6Jer6frummaq6urolrLshqNBkda+Q3b7TYvElGapsvLy81mMwzDzc1bSntqtVqn0zlc192103seiFzSdV3ReLkzsyyLoq1ms8lBVRzHYRg2m83l5WVuntztymEqe7GsqUMeiK7rQRAEQRCGoaZpIw5EKSkPdJqmvK3v+7VabWvrN6JjubWTk4bjOBypKy2XNxQHwms1TdvYWJfHjvuHYxqlnsMPn67rcrWHGb6B7TEMY3LS4NDkYx3Xb36zqWnasMmjjLsygRVTU1Ptdpv/3t6O+UR2XTd/Rm9vx3xEYu3hZzscLwRSACeXZVnKUyghjuPl5WW+0CdJYhiGZVniNbrneb7v93q9j7U7fgXfarWIaFggJYKzJEn4kRgX1jQtCIIoikQb5Gr5P/l+pmxIRNVqVRRO05SfBnmex7e30e0ZcSzyTkcfyOiScmeKO1yWZTs7Cb/z4jgOh6RySeUw77mXEVzX7XQ6vK8RB6KUNE2zeYDDayJqNBqWZe3u7oqO5fBXlh8gsaGu68paUTMRpWk6PX2a+8EwjIH1HJJc7eijHtGewsf1298mPNADBys/7vIEVkxMaJZl8cOqgXGwMHotnGQIpABOqCja4gcMvMhvmohr/d5eVq1W+/1+EARTU5/f2Fjnt/aIKI7jTqcz7IYt31+Vl8V8F5ybm6Phl3XXdfmukC/sed7zzz9fq9XSNF1b+1A0dXr6dLvd7nQ6/X4/iraUDeM45sc//L6kYRiLi4v8LphplpVd9Hq9YfGEQtnp6AORSyr9rHQmv+Pj+75pmtPTp/ltrF6vZ5qmUlI5TGUv29vxIQ+E99hsNi9duqQ8QVQOZHTJNE35oDqdjty2crnMAWun0+FnKkrL5Q2VtTs7O/xWMj8GMwxjY2Odx04EVQWGL45jUS3/MeKoR7SHiHZ2En7D7mMd1+nTpzc21nmw8s+E8uMuT2C55M5OEkVbnufxC57p6dPcP/yMMMsy3js/suIZItYevrvg2I3zw+YAMEaWNXX9+nWxqOt6s9ncX6gvWdYUX2Rrtdpk/ezk5GSj0ej3+3TzlxwqEX+mqr50+D3quj47+6jruq7rajcHb8hvID4ltUcUtm2bG8z1zM/Pc1N1XedPgdRqNevmEhHJG5qmee3aNSK6fv26Xj8rry2tLJRKJbk9q6urh7y15Hc64kAGNo8bf1dn/vcfWNYUF6aVBX53jA76Wel2pX/4rSKxl42N9fyju4FE/7zzzjtG/eyIAxldUtf1/REh0m/cGWgi0jTtscfs/bXvvpFvudiQblyR11o3lyzLep+Ix13TNFGtvrJAdw80HXr4TNM0TfN9aUqMOOoR7SGiSmVm/zAHjciw45q8uTQ5OVmr1fZbe+OKvOv8uCsTWKhUZojofSIuoGmaaI+uzLSVBTFDxNrDz3Y4Xo/cvn17XHUh/QHqQT3HVU+2l31gfWF6+vTUB786Ce15IOs59c//8/bt27/93X+n6/pJaA/qeXjqQfqDk2ycgRQAAADAQwWfkQIAAAAoCIEUAAAAQEEIpAAAAAAKQiAFAAAAUBACKQAAAICCEEgBAAAAFIRACgAAAKAgBFIAAAAABSGQAgAAACgIgRQAAABAQQikAAAAAApCIAUAAABQEAIpAAAAgIIQSAEAAAAUhEAKAAAAoCAEUgAAAAAFIZACAAAAKAiBFAAAAEBBCKQAAAAACkIgBQAAAFAQAikAAACAghBIAQAAABSEQAoAAACgIARSAAAAAAUhkAIAAAAoCIEUAAAAQEEIpAAAAAAKQiAFAAAAUBACKQAAAICCEEgBAAAAFIRACgAAAKAgBFIAAAAABSGQAgAAACgIgRQAAABAQQikAAAAAApCIAUAAABQEAIpAAAAgIIQSAEAAAAUhEAKAAAAoCAEUgAAAAAFIZACAAAAKAiBFAAAAEBBCKQAAAAACkIgBQAAAFAQAikAAACAghBIAQAAABSEQAoAAACgIARSAAAAAAUhkAIAAAAoCIEUAAAAQEEIpAAAAAAKQiAFAAAAUBACKQAAAICCEEgBAAAAFIRACgAAAKAgBFIAAAAABSGQAgAAACgIgRQAAABAQQikAAAAAApCIAUAAABQEAIpAAAAgIIQSAEAAAAUhEAKAAAAoCAEUgAAAAAFIZACAAAAKAiBFAAAAEBBCKQAAAAACkIgBQAAAFAQAikAAACAghBIAQAAABSEQAoAAACgIARSAAAAAAUhkAIAAAAoCIEUAAAAQEEIpAAAAAAKQiAFAAAAUBACKQAAAICCEEgBAAAAFIRACgAAAKAgBFIAAAAABSGQAgAAACgIgRQAAABAQQikAAAAAApCIAUAAABQEAIpAAAAgIIQSAEAAAAUhEAKAAAAoCAEUgAAAAAFIZACAAAAKAiBFAAAAEBBCKQAAAAACkIgBQAAAFAQAikAAACAghBIAQAAABSEQAoAAACgIARSAAAAAAUhkAIAAAAoCIEUAAAAQEEIpAAAAAAKQiAFAAAAUBACKQAAAICCEEgBAAAAFIRACgAAAKAgBFIAAAAABSGQAgAAACgIgRQAAABAQQikAAAAAApCIAUAAABQEAIpAAAAgIIQSAEAAAAUhEAKAAAAoCAEUgAAAAAFIZACAAAAKAiBFAAAAEBBCKQAAAAACkIgBQAAAFAQAikAAACAghBIAQAAABSEQAoAAACgIARSAAAAAAUhkAIAAAAoCIEUAAAAQEEIpAAAAAAKQiAFAAAAUBACKQAAAICCEEgBAAAAFIRACgAAAKAgBFIAAAAABSGQAgAAACgIgRQAAABAQQikAAAAAApCIAUAAABQEAIpAAAAgIIQSAEAAAAUhEAKAAAAoCAEUgAAAAAFIZACAAAAKAiBFAAAAEBB/x8dWnJLxoGLOwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<pdfplumber.display.PageImage at 0x112721be0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im.reset().draw_rects(p0.chars)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Extract the text from the PDF\n",
    "\n",
    "Using the `Page.extract_text(...)` method, we grab every character on the page, line by line:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:58.642887Z",
     "iopub.status.busy": "2022-05-31T19:47:58.642562Z",
     "iopub.status.idle": "2022-05-31T19:47:58.652734Z",
     "shell.execute_reply": "2022-05-31T19:47:58.650671Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For:1094N                                                           \n",
      "Page 1                                                SAN JOSE POLICE DEPT                         Date Report Run : Tue, May-24-16\n",
      "                                                         FIREARM SEARCH                               \n",
      "SEARCH CRITERIA: fi_property.item_status='B' and fi_property.entry_date between '07/01/2012' and '05/24/2016' and fi_p\n",
      "                 roperty.jurisdiction='SJ'                                                                            \n",
      "NUMBER OF RECORDS RETURNED: 983\n",
      "TYPE                 ITEM                   MAKE                                          MODEL           CALIBRE  STATUS    FLAGS\n",
      "-------------------- --------------------   --------------------------------------------- --------------- -------  --------  -----\n",
      "SERIAL NUMBER        REPORT/TAG NUMBER      CASE/FILE NUMBER        STORAGE LOCATION\n",
      "-------------        -------------------    --------------------    ----------------------- \n",
      "PISTOL               REVOLVER               UNKWN/UNPUBLSHD MAKE                          UNKNOWN         38       FOUND     _d__\n",
      "1721                    Tag#:SJ3095-1         GO SJ 2012-122590518  WA-GR/GUN DESTRUCTION  \n",
      "SHOTGUN              DOUBLE BARREL          STEVEN/J STVNS ARMS                           311 SERIES H    12GA     FOUND     _d__\n",
      "REMOVED                 Tag#:SJ3123-1         GO SJ 2012-122620320  WA-GR/GUN DESTRUCTION  \n",
      "PISTOL               SEMI-AUTOMATIC         TAURUS FORJAS                                 PT40 PRO MIL'NU 40       FOUND     _d__\n",
      "SZH77919                Tag#:SJ3360-1         GO SJ 2012-122670386  WA-GR/GUN DESTRUCTION/G\n",
      "PISTOL               SEMI-AUTOMATIC         SMITH AND WESSON                              39              9MM      FOUND     _d__\n",
      "85517                   Tag#:SJ3686-1         GO SJ 2012-122741016  WA-GR/GUN DESTRUCTION/G\n",
      "PISTOL               SEMI-AUTOMATIC         HIGH POINT                                    JCP             40       FOUND     ____\n",
      "REMOVED                 Tag#:SJ3724-1         GO SJ 2012-122750582  WA-GR/GUN DESTRUCTION/G\n",
      "PISTOL               REVOLVER               COLT                                          DETECTIVE SPEC  38       FOUND     _d__\n",
      "982982                  Tag#:SJ4077-2         GO SJ 2012-122840637  WA-GR/GUN DESTRUCTION/Z\n",
      "SHOTGUN              DOUBLE BARREL          MISS.VALLEY ARMS CO.                          UNK             12GA     FOUND     _d__\n",
      "279861                  Tag#:SJ4117-1         GO SJ 2012-122850220  WA-GR/GUN DESTRUCTION  \n",
      "RIFLE                LEVER ACTION           SEARS ROEBUCK & CO.                           5               22       FOUND     _d__\n",
      "63723                   Tag#:SJ4172-1         GO SJ 2012-122860208  WA-GR/GUN DESTRUCTION  \n",
      "PISTOL               SEMI-AUTOMATIC         COLT                                          MATCH TARGET    .22      FOUND     _d__\n",
      "142061S                 Tag#:SJ4324-1         GO SJ 2012-122890285  WA-GR/GD-SCCCL         \n",
      "PISTOL               REVOLVER               SMITH AND WESSON                              UNKNOWN         .22      FOUND     _d__\n",
      "K22539                  Tag#:SJ4324-2         GO SJ 2012-122890285  WA-GR/GUN DESTRUCTION  \n",
      "RIFLE                LEVER ACTION           STEVEN/J STVNS ARMS                           CRACK SHOT 26   .22      FOUND     _d__\n",
      "UNKNOWN                 Tag#:SJ4324-3         GO SJ 2012-122890285  WA-GR/GUN DESTRUCTION  \n",
      "PISTOL               SEMI-AUTOMATIC         CARL WALTHER                                  PPK             7.65     FOUND     _d__\n",
      "832229                  Tag#:SJ4664-1         GO SJ 2012-122960284  WA-GR/GD-SCCCL         \n",
      "                                                           Flags = e (evidence)  d (disposed)  x (x-reference)  n (entered on NCIC)\n"
     ]
    }
   ],
   "source": [
    "text = p0.extract_text()\n",
    "print(text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stripping away the header and footer\n",
    "\n",
    "In this step, we use a regular expression to focus on the core part of the page — the table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:58.656424Z",
     "iopub.status.busy": "2022-05-31T19:47:58.655963Z",
     "iopub.status.idle": "2022-05-31T19:47:58.659782Z",
     "shell.execute_reply": "2022-05-31T19:47:58.659059Z"
    }
   },
   "outputs": [],
   "source": [
    "core_pat = re.compile(r\"LOCATION[\\-\\s]+(.*)\\n\\s+Flags = e\", re.DOTALL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:58.664593Z",
     "iopub.status.busy": "2022-05-31T19:47:58.664191Z",
     "iopub.status.idle": "2022-05-31T19:47:58.667966Z",
     "shell.execute_reply": "2022-05-31T19:47:58.667227Z"
    }
   },
   "outputs": [],
   "source": [
    "core = re.search(core_pat, text).group(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:58.672103Z",
     "iopub.status.busy": "2022-05-31T19:47:58.671573Z",
     "iopub.status.idle": "2022-05-31T19:47:58.676150Z",
     "shell.execute_reply": "2022-05-31T19:47:58.675369Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PISTOL               REVOLVER               UNKWN/UNPUBLSHD MAKE                          UNKNOWN         38       FOUND     _d__\n",
      "1721                    Tag#:SJ3095-1         GO SJ 2012-122590518  WA-GR/GUN DESTRUCTION  \n",
      "SHOTGUN              DOUBLE BARREL          STEVEN/J STVNS ARMS                           311 SERIES H    12GA     FOUND     _d__\n",
      "REMOVED                 Tag#:SJ3123-1         GO SJ 2012-122620320  WA-GR/GUN DESTRUCTION  \n",
      "PISTOL               SEMI-AUTOMATIC         TAURUS FORJAS                                 PT40 PRO MIL'NU 40       FOUND     _d__\n",
      "SZH77919                Tag#:SJ3360-1         GO SJ 2012-122670386  WA-GR/GUN DESTRUCTION/G\n",
      "PISTOL               SEMI-AUTOMATIC         SMITH AND WESSON                              39              9MM      FOUND     _d__\n",
      "85517                   Tag#:SJ3686-1         GO SJ 2012-122741016  WA-GR/GUN DESTRUCTION/G\n",
      "PISTOL               SEMI-AUTOMATIC         HIGH POINT                                    JCP             40       FOUND     ____\n",
      "REMOVED                 Tag#:SJ3724-1         GO SJ 2012-122750582  WA-GR/GUN DESTRUCTION/G\n",
      "PISTOL               REVOLVER               COLT                                          DETECTIVE SPEC  38       FOUND     _d__\n",
      "982982                  Tag#:SJ4077-2         GO SJ 2012-122840637  WA-GR/GUN DESTRUCTION/Z\n",
      "SHOTGUN              DOUBLE BARREL          MISS.VALLEY ARMS CO.                          UNK             12GA     FOUND     _d__\n",
      "279861                  Tag#:SJ4117-1         GO SJ 2012-122850220  WA-GR/GUN DESTRUCTION  \n",
      "RIFLE                LEVER ACTION           SEARS ROEBUCK & CO.                           5               22       FOUND     _d__\n",
      "63723                   Tag#:SJ4172-1         GO SJ 2012-122860208  WA-GR/GUN DESTRUCTION  \n",
      "PISTOL               SEMI-AUTOMATIC         COLT                                          MATCH TARGET    .22      FOUND     _d__\n",
      "142061S                 Tag#:SJ4324-1         GO SJ 2012-122890285  WA-GR/GD-SCCCL         \n",
      "PISTOL               REVOLVER               SMITH AND WESSON                              UNKNOWN         .22      FOUND     _d__\n",
      "K22539                  Tag#:SJ4324-2         GO SJ 2012-122890285  WA-GR/GUN DESTRUCTION  \n",
      "RIFLE                LEVER ACTION           STEVEN/J STVNS ARMS                           CRACK SHOT 26   .22      FOUND     _d__\n",
      "UNKNOWN                 Tag#:SJ4324-3         GO SJ 2012-122890285  WA-GR/GUN DESTRUCTION  \n",
      "PISTOL               SEMI-AUTOMATIC         CARL WALTHER                                  PPK             7.65     FOUND     _d__\n",
      "832229                  Tag#:SJ4664-1         GO SJ 2012-122960284  WA-GR/GD-SCCCL         \n"
     ]
    }
   ],
   "source": [
    "print(core)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Parse each group of two lines\n",
    "\n",
    "In the report, each firearm takes up two lines. The code below splits the core table into two-line groups, and then parses out the fields, based on the number of characters in each field:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:58.679897Z",
     "iopub.status.busy": "2022-05-31T19:47:58.679530Z",
     "iopub.status.idle": "2022-05-31T19:47:58.684935Z",
     "shell.execute_reply": "2022-05-31T19:47:58.683143Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('PISTOL               REVOLVER               UNKWN/UNPUBLSHD MAKE                          UNKNOWN         38       FOUND     _d__', '1721                    Tag#:SJ3095-1         GO SJ 2012-122590518  WA-GR/GUN DESTRUCTION  ')\n"
     ]
    }
   ],
   "source": [
    "lines = core.split(\"\\n\")\n",
    "line_groups = list(zip(lines[::2], lines[1::2]))\n",
    "print(line_groups[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:58.689082Z",
     "iopub.status.busy": "2022-05-31T19:47:58.688796Z",
     "iopub.status.idle": "2022-05-31T19:47:58.694355Z",
     "shell.execute_reply": "2022-05-31T19:47:58.693701Z"
    }
   },
   "outputs": [],
   "source": [
    "def parse_row(first_line, second_line):\n",
    "    return {\n",
    "        \"type\": first_line[:20].strip(),\n",
    "        \"item\": first_line[21:41].strip(),\n",
    "        \"make\": first_line[44:89].strip(),\n",
    "        \"model\": first_line[90:105].strip(),\n",
    "        \"calibre\": first_line[106:111].strip(),\n",
    "        \"status\": first_line[112:120].strip(),\n",
    "        \"flags\": first_line[124:129].strip(),\n",
    "        \"serial_number\": second_line[0:13].strip(),\n",
    "        \"report_tag_number\": second_line[21:41].strip(),\n",
    "        \"case_file_number\": second_line[44:64].strip(),\n",
    "        \"storage_location\": second_line[68:91].strip(),\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:58.698694Z",
     "iopub.status.busy": "2022-05-31T19:47:58.698404Z",
     "iopub.status.idle": "2022-05-31T19:47:58.702376Z",
     "shell.execute_reply": "2022-05-31T19:47:58.701412Z"
    }
   },
   "outputs": [],
   "source": [
    "parsed = [ parse_row(first_line, second_line) \n",
    "    for first_line, second_line in line_groups ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Result\n",
    "\n",
    "Below, you can see the parsed data for the first two firearms in the report:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:58.706915Z",
     "iopub.status.busy": "2022-05-31T19:47:58.706017Z",
     "iopub.status.idle": "2022-05-31T19:47:58.711971Z",
     "shell.execute_reply": "2022-05-31T19:47:58.711328Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'type': 'PISTOL',\n",
       "  'item': 'REVOLVER',\n",
       "  'make': 'UNKWN/UNPUBLSHD MAKE',\n",
       "  'model': 'UNKNOWN',\n",
       "  'calibre': '38',\n",
       "  'status': 'FOUND',\n",
       "  'flags': '_d__',\n",
       "  'serial_number': '1721',\n",
       "  'report_tag_number': 'Tag#:SJ3095-1',\n",
       "  'case_file_number': 'GO SJ 2012-1225905',\n",
       "  'storage_location': 'WA-GR/GUN DESTRUCTION'},\n",
       " {'type': 'SHOTGUN',\n",
       "  'item': 'DOUBLE BARREL',\n",
       "  'make': 'STEVEN/J STVNS ARMS',\n",
       "  'model': '311 SERIES H',\n",
       "  'calibre': '12GA',\n",
       "  'status': 'FOUND',\n",
       "  'flags': '_d__',\n",
       "  'serial_number': 'REMOVED',\n",
       "  'report_tag_number': 'Tag#:SJ3123-1',\n",
       "  'case_file_number': 'GO SJ 2012-1226203',\n",
       "  'storage_location': 'WA-GR/GUN DESTRUCTION'}]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parsed[:2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preview via `pandas.DataFrame`\n",
    "\n",
    "To make it a little easier to read, here's the full table, parsed and represented as a `pandas.DataFrame` (for ease of viewing):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-05-31T19:47:58.715417Z",
     "iopub.status.busy": "2022-05-31T19:47:58.715117Z",
     "iopub.status.idle": "2022-05-31T19:47:59.913397Z",
     "shell.execute_reply": "2022-05-31T19:47:59.912590Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type</th>\n",
       "      <th>item</th>\n",
       "      <th>make</th>\n",
       "      <th>model</th>\n",
       "      <th>calibre</th>\n",
       "      <th>status</th>\n",
       "      <th>flags</th>\n",
       "      <th>serial_number</th>\n",
       "      <th>report_tag_number</th>\n",
       "      <th>case_file_number</th>\n",
       "      <th>storage_location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>REVOLVER</td>\n",
       "      <td>UNKWN/UNPUBLSHD MAKE</td>\n",
       "      <td>UNKNOWN</td>\n",
       "      <td>38</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>1721</td>\n",
       "      <td>Tag#:SJ3095-1</td>\n",
       "      <td>GO SJ 2012-1225905</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SHOTGUN</td>\n",
       "      <td>DOUBLE BARREL</td>\n",
       "      <td>STEVEN/J STVNS ARMS</td>\n",
       "      <td>311 SERIES H</td>\n",
       "      <td>12GA</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>REMOVED</td>\n",
       "      <td>Tag#:SJ3123-1</td>\n",
       "      <td>GO SJ 2012-1226203</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>SEMI-AUTOMATIC</td>\n",
       "      <td>TAURUS FORJAS</td>\n",
       "      <td>PT40 PRO MIL'NU</td>\n",
       "      <td>40</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>SZH77919</td>\n",
       "      <td>Tag#:SJ3360-1</td>\n",
       "      <td>GO SJ 2012-1226703</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION/G</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>SEMI-AUTOMATIC</td>\n",
       "      <td>SMITH AND WESSON</td>\n",
       "      <td>39</td>\n",
       "      <td>9MM</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>85517</td>\n",
       "      <td>Tag#:SJ3686-1</td>\n",
       "      <td>GO SJ 2012-1227410</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION/G</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>SEMI-AUTOMATIC</td>\n",
       "      <td>HIGH POINT</td>\n",
       "      <td>JCP</td>\n",
       "      <td>40</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>____</td>\n",
       "      <td>REMOVED</td>\n",
       "      <td>Tag#:SJ3724-1</td>\n",
       "      <td>GO SJ 2012-1227505</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION/G</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>REVOLVER</td>\n",
       "      <td>COLT</td>\n",
       "      <td>DETECTIVE SPEC</td>\n",
       "      <td>38</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>982982</td>\n",
       "      <td>Tag#:SJ4077-2</td>\n",
       "      <td>GO SJ 2012-1228406</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION/Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SHOTGUN</td>\n",
       "      <td>DOUBLE BARREL</td>\n",
       "      <td>MISS.VALLEY ARMS CO.</td>\n",
       "      <td>UNK</td>\n",
       "      <td>12GA</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>279861</td>\n",
       "      <td>Tag#:SJ4117-1</td>\n",
       "      <td>GO SJ 2012-1228502</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>RIFLE</td>\n",
       "      <td>LEVER ACTION</td>\n",
       "      <td>SEARS ROEBUCK &amp; CO.</td>\n",
       "      <td>5</td>\n",
       "      <td>22</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>63723</td>\n",
       "      <td>Tag#:SJ4172-1</td>\n",
       "      <td>GO SJ 2012-1228602</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>SEMI-AUTOMATIC</td>\n",
       "      <td>COLT</td>\n",
       "      <td>MATCH TARGET</td>\n",
       "      <td>.22</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>142061S</td>\n",
       "      <td>Tag#:SJ4324-1</td>\n",
       "      <td>GO SJ 2012-1228902</td>\n",
       "      <td>WA-GR/GD-SCCCL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>REVOLVER</td>\n",
       "      <td>SMITH AND WESSON</td>\n",
       "      <td>UNKNOWN</td>\n",
       "      <td>.22</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>K22539</td>\n",
       "      <td>Tag#:SJ4324-2</td>\n",
       "      <td>GO SJ 2012-1228902</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>RIFLE</td>\n",
       "      <td>LEVER ACTION</td>\n",
       "      <td>STEVEN/J STVNS ARMS</td>\n",
       "      <td>CRACK SHOT 26</td>\n",
       "      <td>.22</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>UNKNOWN</td>\n",
       "      <td>Tag#:SJ4324-3</td>\n",
       "      <td>GO SJ 2012-1228902</td>\n",
       "      <td>WA-GR/GUN DESTRUCTION</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PISTOL</td>\n",
       "      <td>SEMI-AUTOMATIC</td>\n",
       "      <td>CARL WALTHER</td>\n",
       "      <td>PPK</td>\n",
       "      <td>7.65</td>\n",
       "      <td>FOUND</td>\n",
       "      <td>_d__</td>\n",
       "      <td>832229</td>\n",
       "      <td>Tag#:SJ4664-1</td>\n",
       "      <td>GO SJ 2012-1229602</td>\n",
       "      <td>WA-GR/GD-SCCCL</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       type            item                  make            model calibre  \\\n",
       "0    PISTOL        REVOLVER  UNKWN/UNPUBLSHD MAKE          UNKNOWN      38   \n",
       "1   SHOTGUN   DOUBLE BARREL   STEVEN/J STVNS ARMS     311 SERIES H    12GA   \n",
       "2    PISTOL  SEMI-AUTOMATIC         TAURUS FORJAS  PT40 PRO MIL'NU      40   \n",
       "3    PISTOL  SEMI-AUTOMATIC      SMITH AND WESSON               39     9MM   \n",
       "4    PISTOL  SEMI-AUTOMATIC            HIGH POINT              JCP      40   \n",
       "5    PISTOL        REVOLVER                  COLT   DETECTIVE SPEC      38   \n",
       "6   SHOTGUN   DOUBLE BARREL  MISS.VALLEY ARMS CO.              UNK    12GA   \n",
       "7     RIFLE    LEVER ACTION   SEARS ROEBUCK & CO.                5      22   \n",
       "8    PISTOL  SEMI-AUTOMATIC                  COLT     MATCH TARGET     .22   \n",
       "9    PISTOL        REVOLVER      SMITH AND WESSON          UNKNOWN     .22   \n",
       "10    RIFLE    LEVER ACTION   STEVEN/J STVNS ARMS    CRACK SHOT 26     .22   \n",
       "11   PISTOL  SEMI-AUTOMATIC          CARL WALTHER              PPK    7.65   \n",
       "\n",
       "   status flags serial_number report_tag_number    case_file_number  \\\n",
       "0   FOUND  _d__          1721     Tag#:SJ3095-1  GO SJ 2012-1225905   \n",
       "1   FOUND  _d__       REMOVED     Tag#:SJ3123-1  GO SJ 2012-1226203   \n",
       "2   FOUND  _d__      SZH77919     Tag#:SJ3360-1  GO SJ 2012-1226703   \n",
       "3   FOUND  _d__         85517     Tag#:SJ3686-1  GO SJ 2012-1227410   \n",
       "4   FOUND  ____       REMOVED     Tag#:SJ3724-1  GO SJ 2012-1227505   \n",
       "5   FOUND  _d__        982982     Tag#:SJ4077-2  GO SJ 2012-1228406   \n",
       "6   FOUND  _d__        279861     Tag#:SJ4117-1  GO SJ 2012-1228502   \n",
       "7   FOUND  _d__         63723     Tag#:SJ4172-1  GO SJ 2012-1228602   \n",
       "8   FOUND  _d__       142061S     Tag#:SJ4324-1  GO SJ 2012-1228902   \n",
       "9   FOUND  _d__        K22539     Tag#:SJ4324-2  GO SJ 2012-1228902   \n",
       "10  FOUND  _d__       UNKNOWN     Tag#:SJ4324-3  GO SJ 2012-1228902   \n",
       "11  FOUND  _d__        832229     Tag#:SJ4664-1  GO SJ 2012-1229602   \n",
       "\n",
       "           storage_location  \n",
       "0     WA-GR/GUN DESTRUCTION  \n",
       "1     WA-GR/GUN DESTRUCTION  \n",
       "2   WA-GR/GUN DESTRUCTION/G  \n",
       "3   WA-GR/GUN DESTRUCTION/G  \n",
       "4   WA-GR/GUN DESTRUCTION/G  \n",
       "5   WA-GR/GUN DESTRUCTION/Z  \n",
       "6     WA-GR/GUN DESTRUCTION  \n",
       "7     WA-GR/GUN DESTRUCTION  \n",
       "8            WA-GR/GD-SCCCL  \n",
       "9     WA-GR/GUN DESTRUCTION  \n",
       "10    WA-GR/GUN DESTRUCTION  \n",
       "11           WA-GR/GD-SCCCL  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "columns = list(parsed[0].keys())\n",
    "pd.DataFrame(parsed)[columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "---\n",
    "\n",
    "---"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "pygments_lexer": "ipython3",
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